The Dresden International PhD Program (DIPP) offers great opportunities for outstanding and enthusiastic graduates who wish to work towards a PhD in a highly interactive, interdisciplinary and international scientific community. The DIPP combines two powerful partners dedicated to first-class doctoral training at the frontier of science – theInternational Max Planck Research School for Cell, Developmental and Systems Biology (IMPRS-CellDevoSys)implemented by the Max Planck Society in 2001, and the Dresden International Graduate School for Biomedicine and Bioengineering (DIGS-BB) awarded to the TU Dresden in the Excellence Initiative in 2006.

Our research-oriented program focuses on challenging research towards a PhD degree at the frontier of science in the tracks

  • Our expertise spans from biology, physics, computational science to translational research in biomedicine, bioengineering and nanotechnologies. PhD students are invited to profit from the inspiring and vibrant network formed by the closely interacting research groups, institutes and facilities. Expert thesis supervision by a Thesis Advisory Committee, ambitious training and exceptional student-driven activities are further hallmarks of the DIPP.
Applications are invited twice a year, the admission is highly competitive. PhD students typically graduate after 3.5 to 4 years at the Technische Universität Dresden, well prepared for future career steps.

Computational Biology

From Cells to Biology in Cyberspace – The CompBio Track

The CompBio Track does research in theoretical and computational disciplines, like computer science, applied mathematics, computational engineering, and computational physics. Thanks to the close integration with the leading-edge biology and physics of the other tracks, this serves a double purpose: On the one hand, we advance computing and theory as inspired by the challenging systems and data of biology. On the other hand, we apply computational methods to help advance biology. This includes both the computational analysis of biological data (microscopy images, genome sequences, lineage trees, etc.) and computer simulations of biological systems and processes (computational biology).
  • Biological systems challenge the available computational methods, and the necessary foundations in computer science and mathematics are often missing. The CompBio Track hence performs fundamental research in computational and theoretical areas in order to develop the methodological foundations for future biology in tight integration with the experimental approaches of the other tracks.
  • Over the past decade, biological questions have become one of the major drivers of progress in computational science. At the same time, computational models and simulations are at the very heart of modern biology, enabling predictions of complex system behavior. Much research and progress in computer science and applied mathematics is however still required in order to cope with the intricacies and complexity of biological systems. The CompBio track drives these developments in an exciting, truly interdisciplinary program, and in tight integration with the biological applications.

Research Fields

  • Scientific Computing
  • Applied Mathematics
  • Computational Biology
  • Computational Genomics
  • Computer Vision/Image Processing
  • Bioinformatics
  • Parallel and High-Performance Computing
  • Software Engineering

Research Groups

Admission Procedure


  • Request an account for accessing our online application and make sure to use an email address that is valid throughout the application process. Follow the instructions given in the online application form. Briefly, the application consists of two parts:

1st Part: Registration

  • Registration requires personal information and contact details of two referees whom we will invite to complete an online recommendation form. We expect that your referees are well in position to judge your research performance, and strongly recommend that you name your thesis supervisor as referee.
  • Before submitting your referees’ details, make sure that they are willing and available to provide their recommendation within the given deadline. We encourage to register early to grant your referees sufficient time for submitting their recommendation. Information submitted with the registration cannot be changed, however, additional referees can be added up to the registration deadline.
  • We acknowledge successful registration and receipt of each online recommendation via email. Please contact your referees directly for clarification if you don’t receive our confirmation in good time.

2nd Part: Application

  • Following registration you will be granted immediate access to the application form. Make sure that you provide complete information and up-loads of required documents (University certificates and transcripts of marks/record of study), GRE examination and TOEFL/IELTS results if available.
  • After completion of the online application form, you will be able to generate a pdf file of your application. Please use this function to ensure the legibility of uploaded documents. Save a copy of your application for your reference before submitting the application.
  • You will be able to submit your application once we received two online recommendations until the application deadline. Successful submission of your application will be confirmed by email.

Evaluation of applications

  • Eligible applications will proceed to evaluation. The first evaluation takes into account the applicants’ national education system, and is carried out by internal experts of the respective educational system. Qualified applications are recommended to DIPP faculty members for further assessment. They jointly short-list the candidates to be invited for the interview week in Dresden. Invitations are sent approximately 4 weeks before the interview week.

The interview week in Dresden

  • The Monday of the interview week is reserved for arrival, a welcome by the program officials, followed by group leaders’ presentations and an applicants’ poster session. On Tuesday, each candidate conducts a 30 minutes interview with the Admission Committees. These interviews cover general knowledge questions according to the applicant’s scientific discipline and a paper discussion. Proficiency in standard textbook knowledge is expected. Candidates who pass the Admission Committees are in general eligible to be admitted to the DIPP. Wednesday and Thursday are reserved for interviews with group leaders, lab visits and informal discussions with lab members. Concluding interviews with the Deans and the Admission Committee members are scheduled for Friday morning. Full details of the interview week will be sent to invited candidates only.

Offers of admission

  • Offers of admission to the Dresden International PhD Program are made by the end of the interview week. Admission is granted by the Deans based on the results of the Admission Committee and the group leader interviews. In general, offers include the affiliation to a scientific track and to a defined research group.

Starting your PhD thesis work

  • The individual starting date will be agreed on with the primary supervisor. For the spring selection, the latest starting date is October 1st of the year of admission. For the fall selection, the latest starting date is March 1st of the year following the year of admission.

If you have any questions, please contact @

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Fernán Agüero was immensely excited when he entered the field of bioinformatics. With a background in molecular biology and parasitology, he helped local groups to sequence small fragments of DNA to discover new parasite genes. So exciting was the work, it led to a lifelong commitment to bioinformatics.
  • DNA analysis applied to parasitology was routinely used at home in Argentina, but not at the scale required to tackle complete genomes. Agüero had already specialised in parasite biology, even applying to study Trypanosoma cruzi (T. cruzi), the Chagas causing parasite, as an undergraduate biology student in Buenos Aires in the late nineties. His superiors soon realized he was primarily interested in bioinformatics but there were almost no research groups in this field in Argentina at the time.
"It's very easy to get into contact with parasitology in Argentina," he explains. "But bioinformatics was just starting to be mentioned. I was always working with computers so bioinformatics was kind of natural. I really liked it." A bioinformatics course at the University of Uppsala in Sweden enabled Agüero to combine two passions; dabbling in computers and parasite biogenetics.

TDR targets parasite genomes

  • When TDR issued a call for proposals for an international project incorporating genetic information of pathogens seen primarily in the developing world, Agüero wanted to get involved. As the human genome project progressed, researchers had begun to sequence the DNA of parasites, many funded by TDR. And, to make the most of this rich new resource, TDR decided to combine all sorts of vital pathogen information into a single database called, providing genomic data on pathogens, their expression and protein structures, chemical properties and drug information gleaned from published papers.
“TDR funding came at a time in my career when I was trying to establish a bioinformatics unit in the institute and to start recruiting students. And when you are young it is difficult to get funding.”
Férnan Agüero
  • The idea was to help stimulate drug development for neglected diseases, says Professor Wesley C. Van Voorhis of the Centre for Emerging and Re-emerging Infectious Diseases (CERID) at the University of Washington and one of the team of experts gathered from all over the world to create the database. Agüero was charged with designing so users can easily interrogate it via the internet.
“Agüero is a leader and innovator in the field of bioinformatics in supporting target-based drug development,” says Van Voorhis. "He has written the code that runs the site, trained students and postdocs to run and curate the website, effectively reached out to users in the developing world, run workshops, and proven the usefulness of curating drug target information from the genomes of infectious diseases predominately found in the developing world. Without him, the site simply wouldn’t work at all!"
  • The experience was invaluable for Agüero. "It meant a lot to me because it was like five years with constant exposure to five mentors, not just one," he says. The database is still housed at his university in San Martín, on the outskirts of Buenos Aires where research groups from all over the world have accessed it. Agüero has used the database to pinpoint interesting targets within T. cruzi, and is testing them in mice.

Spreading the word on bioinformatics

  • Today Agüero, Assistant Professor of Bioinformatics and Computational Biology at the Instituto de Investigaciones Biotecnológicas at Universidad de San Martín, has helped create a sizeable community of bioinformatics experts in Argentina. He teaches bioinformatics to around 30 doctoral and postdoctoral students every year, based on a course he created in 2003.
  • Expertise in teaching came through TDR, which held an intensive month-long, train-the-trainers’ course in Rio de Janeiro, Brazil back in 2001. "That course was very important to foster development of expertise in the region. When we got back to our countries we could start to establish bio-informatics courses," says Agüero, who helped found Argentina’s only society for computational biology and bioinformatics (A2B2C).
“I think that supporting young researchers like Agüero has an amplifying effect and has undoubtedly paid off in terms of research capacity in developing countries, as well as in obtaining tools for disease control.”
Dr Alberto Carlos Frasch, Dean, Universidad de San Martín
  • He views the TDR funding as crucial in furthering bioinformatics in Argentina. "It came at a time in my career when I was trying to establish bioinformatics in the institute and to start getting students. And when you are young it is difficult to get funding," he says.
  • Dr Alberto Carlos Frasch, a senior member of Argentina's National Research Council and dean at Universidad de San Martín, agrees. “Here is an excellent example of the importance of international organizations like TDR supporting young researchers to allow their development into mature scientists in the area of neglected diseases,” he says. “I think that supporting young researchers like Agüero has an amplifying effect and has undoubtedly paid off in terms of research capacity in developing countries, as well as in obtaining tools for disease control.”
  • Today Agüero is hoping bioinformatics can improve one particular tool – diagnostic tests – by analysing bio-markers that might be more reliable than those detected in traditional tests. Today’s Chagas tests cannot tell if a drug has actually worked, for instance. Among the group of so-called neglected diseases, the need for bioinformatics is stronger than ever, since current screening technologies for new diagnostic markers generate large datasets. New biomarkers can be useful not only for individual diagnoses, but also for monitoring clinical trials, assessing the disease prevalence and emerging outbreaks.

For more information, please contact

Jamie Guth
TDR Communications Manager
Telephone: +41 79 441 2289
E-mail:[email protected]

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These informal events will bring together students, researchers and mentors to edit articles on Wikipedia related to Bioinformatics, Computational Biology and related fields.
As with our event last year, the audience is both:
- Students participating in the ISCB Wikipedia competition - Researchers interested in editing Wikipedia articles in their field
  • Besides being a great chance to hone your skills in science communication, it is also a great opportunity to interact with other researchers and students.
  • This is your chance to find get in touch with other bioinformaticians and computational biologists both in your city/institute and across Australia.

Youth Day Wikipedia Edit-a-thon:


  • Edit-a-thons around Australia are being held on Tuesday 9th Septemberbetween 4pm and 7pm AEST. Check your local venue below for exact times.


University of Melbourne

4.30pm – 6:30pm
G08 (Kimpton Room)
Melbourne School of Land and Environment

University of Queensland

4pm – 6pm.
Multimedia room (Level 3)
Institute for Molecular Bioscience, Brisbane

CSIRO, North Ryde NSW

4.30pm – 6:30 pm
Ground Floor Conference Room
Building 53, 11 Julius Avenue, North Ryde NSW 2113 (Corner of Delhi Rd and Julius Ave West)

University of Adelaide

4pm – 6pm.
Room 4.21
Santos Petroleum Engineering Building,

University of Sydney

5pm – 7pm
Level 6 Seminar Room,
Charles Perkins Centre

Online – participate remotely

If you can’t attend in person, join in online via the wikipedia meetup page on the day:
Still register, so we can include you the excitement on the day!

Read more/Wikipedia edit-a-thon – Registration:

UConn Health is engaged in a major expansion of its research programs in computational biology, bioinformatics, and systems biology, as part of several transformative state initiatives. The Bioscience Connecticut initiative, totaling approximately $1 billion, includes the establishment of the new Center for Quantitative Medicine in 2013.
  • The Center for Quantitative Medicine is recruiting several postdoctoral fellows to pursue research in bioinformatics and computational systems biology with a particular focus on algorithm development and computational modeling of cellular processes, as well as applications of quantitative methods to biomedicine. Positions are available in the Laubenbacher, Mendes, and Vera-Licona research groups.
  • The Laubenbacher group has ongoing projects in the development and implementation of algorithms related to modeling and simulation, with applications to cancer and infectious diseases related to iron metabolism. A particular focus is on immunological aspects of these and other diseases. Vera-Licona works on algorithm and software development for the modeling and simulation of biological systems.
  • She is looking for a postdoc to work on the development of computational tools for identification of cascading failures and in silico combination therapies in complex biological networks. Mendes studies computational methods in systems biology, including development of simulation software, and is seeking a postdoctoral researcher to work on creating models of iron biochemistry, which is associated with several diseases such as cardiovascular, cancer, neurodegenerative, and many others. There are many collaborative activities between the three research groups.
  • The successful candidates will be expected to pursue research in the areas described above, with activities including interacting with experimental collaborators, setting up models, data analysis workflows, and other computational procedures, writing up and publishing results in peer-reviewed journals, presenting results at conferences and helping with developing new projects. The successful candidates will be individuals with background in mathematics, computer science, or physics with some knowledge of biology, or biologists with experience in developing computational/mathematical models. All of these positions will be pursuing interdisciplinary work at the boundaries of these disciplines.

How to apply

To apply, please send your CV, a brief statement of research interests, and contact information for three references to Kathy Black at[email protected].

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ISCB-Africa ASBCB Bioinformatics Conference welcomes original research submissions for papers and posters.
Papers and posters are intended to convey a scientific result that is original work, and are not advertisements for commercial software packages. Papers and posters may cover any area of computational biology, but preferably within one of the topic areas listed below:
  1. Host/pathogen systems biology
  2. Bioinformatics of human genetics
  3. Molecular epidemiology and evolution
  4. Functional, structural and comparative genomics
  5. Database and resource development
  6. Search and design of vaccines and drugs

Original Research Submission Guidelines

  • All abstracts must be a maximum of 250 words (to appear in the conference booklet) and should provide at the least the following information within them: background information, approach/methods, results and conclusions (actual headings within the abstract are not necessary). For paper submissions, authors are required to submit an additional paragraph of up to 250 words stating the relevance of the work for the purpose of convincing reviewers of the scientific content/validity; these additional 250 words will not be published and are for reviewing purposes only.
Original Paper Submissions for Oral Presentation Deadline is 31 October 2014.
Poster Submission Deadline is 6 December 2014.
All notifications will be received in January 2015.

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Job details:

The Computational Biology Program invites applications for a faculty position at any rank (assistant, associate, or full member). The candidate will receive an appointment in the Computational Biology Program and also in the Center Scientific Division that is best suited to support the candidate's research program.
We are seeking candidates with strong biological research programs that develop and use novel computational biology methodologies, including algorithms or genome-scale biotechnologies, or that use multiple existing techniques together in innovative ways. All research areas will be considered, but candidates whose research programs are related to functional genomics or cancer are particularly encouraged to apply.

The Art of Science - Fred Hutchinson Cancer Research Center


  • Applicants should have a PhD. or an MD. Faculty rank will be dependent on qualifications and experience.
  • Applications received by November 15, 2014 will be guaranteed full consideration for the position.
  • Applications that arrive after that date will be considered as long as the position remains open.
  • Applicants should submit a cover letter, curriculum vitae, and research statement of no more than four pages. They should also arrange to have up to three letters of reference submitted on their behalf.

Apply online


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BLAST Searches at a Cloud Provider:

The NCBI is experimenting with providing a BLAST machine image (AMI) hosted at Amazon Web Services (AWS). This AMI allows users to run stand-alone searches with the BLAST+ applications, submit searches through a subset of the NCBI-BLAST URL API, and perform searches with a simplified webpage. The AMI also includes a FUSE client that can download BLAST databases during the first search. The AMI uses HVM (Hardware Virtual Machine) and runs on LINUX (Ubuntu). This page provides links to the latest AMI as well as links to documentation about BLAST and the AMI

About Webinar:BLAST in the Cloud

  • Presented July 30, 2014 and covering: an NCBI BLAST AMI at Amazon Web Services; introduction to AWS and setting up an instance; running command line BLAST and using the BLAST URL API via the AMI; and answers to attendee questions.

The most recent BLAST+ AMI



Medical research is entering an exciting phase, where new technologies are playing a critical role in revealing the causes of human disease. Bioinformatics – the analysis of biological data to glean useful information – is one of these pioneering technologies.
Powerful new genetic sequencing techniques offer a detailed look into many biological systems but produce a vast array of data that is too large to be analysed by conventional methods. The science of bioinformatics uses computing power and people with expertise in mathematics and statistics to gain meaningful information from that data.

Malaghan Institute of Medical Research

  • At the Malaghan Institute, we are growing a bioinformatics team made up of people with expertise in molecular biology and computer science, to work alongside our medical researchers. We have also invested in the computer hardware needed to process the large data sets.
  • Professor Franca Ronchese is already using bioinformatics to explore the role of a type of immune cells called dendritic cells, in the initiation of allergies. “I am very excited by the new opportunities we have with this technology. We know we are asking difficult questions, but we are also confident that we have the best possible set-up to find the answers.”
  • New Zealand has one of the highest rates of allergic disease in the developed world, so any information on how allergies might be prevented or better treated has the potential to improve the quality of life for thousands of people.
“Unfortunately, there is still a lot we don’t understand about allergies. We don’t know when or where people were first exposed to allergens, or how this first exposure develops into an allergic response and then disease. We believe that understanding the beginning of an allergic response will be useful in trying to prevent the spread of allergy, and perhaps also in finding treatments to switch it off.”
  • Professor Ronchese and her team are researching the precise role of dendritic cells in allergies. They are sequencing the whole transcriptome (all the molecules of RNA rather than DNA) of dendritic cells in a mouse that hasn’t been exposed to an allergen and a mouse that has.
“If our research so far is correct, there is something in the dendritic cell of an allergic mouse that starts the allergy, which is not present in a normal dendritic cell. There must be some subtle difference between the dendritic cells in allergic and non-allergic mice.”
  • Pinpointing that difference, however, is like finding a proverbial needle in a haystack. “That’s where we rely on our bioinformatics team, who will compare the dendritic cells at a molecular level and hopefully find a result for us.”
  • The search for a switch to turn off unwanted immune responses has been a long-term project at the Institute. Understanding an allergic response at this molecular level has the potential to open up new areas of research as well as leads for immune therapies.

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job details:

As part of this group, the computational algorithms postdoc will be a major contributor in the research and development of new methods for optimization, calibration, parameter space exploration, and sensitivity analysis.  These novel methods will be used to generate model-based guidance for public health campaigns and inform policymaking decisions with quantitative results across various disease models including polio, HIV, tuberculosis, and malaria.  The research, models, and results will be presented to key stakeholders, displayed at conferences, and published in academic journals. The duration of this postdoctoral appointment will be 3 years.
Joining our group provides unique opportunities to interact with global-health policymakers, to collaborate with world-class research laboratories and non-profit organizations, and to contribute to global and national disease-eradication strategies.  Publication of research work is strongly encouraged.

Intellectual Ventures Lab Overview


  • Become familiar with state-of-the-art algorithms for model calibration, optimization, sensitivity and uncertainty analysis, or parameter space exploration
  • Develop a theoretical basis for novel algorithms
  • Prototype and demonstrate novel algorithms in a scientific computing language
  • Provide assistance to software team implementing novel algorithms into a production framework
  • Lead in the preparation of research articles and conference presentations communicating methods and results to the scientific community

Key Qualifications and Required Skills:

  • Ph.D. in a quantitative field (e.g. Mathematics, Physics, Bioinformatics, Control, Computer Science, Engineering)
  • Significant experience in developing and analyzing numerical methods (e.g. stochastic optimization, Monte Carlo sampling, regression)
  • Familiarity with principles, techniques, and tools of computational epidemiology
  • Proficiency in at least one data-analysis or scripting language (e.g. MATLAB, python, R)
  • Ability to read and write research articles
  • Work extended hours to meet a deadline, and a demonstrated ability to work productively as part of a small team
  • Interest in providing quantitative guidance to public health issues in developing world settings.
  • Multiple published articles in peer-reviewed scientific journals.  List of articles to be submitted with application

Read more/Apply


job details:

The Scientific Software Developer collaborates with research business units to improve the end-user experience and adoption of web based scientific database applications. The Developer builds and maintains end-to-end solutions based on business functional requirements.
The candidate will participate in process improvement / automation projects from business process analysis through to implementation of the application or system in a biotechnology setting. The candidate will support the biotechnology research areas in the design and development of scientific applications. Responsible for aspects of the software development lifecycle, including: design, implementation, testing and maintenance of scientific business applications. The candidate will be responsible for new and existing systems


  • Design, build, deploy and maintain relational database based application using LAMP technology stack
  • Work with the laboratory and technical personnel to understand their business processes and suggest improvement opportunities
  • Build applications by translating high-level scientific business and user requirements into functional and design specifications
  • Must be able to handle a variety of tasks, effectively solve problems with numerous and complex variables, and be able to shift priorities as needed
  • Partner with internal and external resources to negotiate and customize business, functional, and design requirements for enhanced end-user experience
  • Create user-centered designs based on business and functional requirements, user research, customer feedback, and usability findings
  • Design user interfaces by using conceptual design techniques such as creating visual mockups, prototypes, and diagrams
  • Enhance, maintain, and troubleshoot software application development requests
  • Contribute in the development of software and design standards, processes and procedures, and guidelines to
  • ensure they meet business rules and government regulations
  • Participate in user research and usability testing to help improve the user experience
  • Improve the user-experience by applying innovative as well as best practices and current industry trends

Experience and Required Skills:

  • Requirements:
  • BS in Computer Science or related field
  • 2-5+ Years Experience
  • Expertise using LAMP technology stack (Linux, Apache, MySQL and Perl/Python, ) Ruby & Ruby on Rails Framework
  • Familiarity with software patterns such as the Model View Controller.
  • Experience with a web development framework such as Ruby on Rails, Django or Zend
  • Familiarity with biological laboratory techniques
  • Understanding of an Agile development methodology
  • Bachelor’s or graduate degree in computer science, information technology, or a life science
  • Strong interest in contributing to biological research
  • Algorithm Development
  • Experience in fast changing Research focused environments
  • Team focused environment
  • Working in a heterogeneous database environments
  • HTML5 / CSS3 Experience
  • Ability to understand end-user needs and user experience
  • Biology background or equivalent work experience in a research environment
  • Is an independent worker and proactively seeks to innovate
  • Demonstrated problem solving and analytical skills
  • Excellent verbal and written communication skills
  • Ability to work independently or as part of a team
  • Willingness to work in and adapt to a fast paced, ever changing biological research environment
  • Attention to detail and a passion for solving complex and interesting problems
  • Analytical with the desire to measure the effectiveness of new features
  • Welcome and respect ideas from partners, business stakeholder and technical experts
  • Demonstrated ability to perform business analysis and identify valid improvement opportunities
This is an opportunity to join our select team that is already leading the way in the Pharmaceutical/Biotech industry. Apply today and learn more about Regeneron’s unwavering commitment to combining good science & good business.
  • To all agencies: Please, no phone calls or emails to any employee of Regeneron about this opening. All resumes submitted by search firms/employment agencies to any employee at Regeneron via-email, the internet or in any form and/or method will be deemed the sole property of Regeneron, unless such search firms/employment agencies were engaged by Regeneron for this position and a valid agreement with Regeneron is in place. In the event a candidate who was submitted outside of the Regeneron agency engagement process is hired, no fee or payment of any kind will be paid.
  • Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, disability status, protected veteran status, or any other characteristic protected by law.

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job details:

The Bioinformatics Research Programmer will perform computational analysis of next generation sequence (NGS) data from several bacterial species as part of the research ongoing in the Public Health Infectious Diseases Laboratory (PHIDL). Responsibilities include but are not limited to analyzing data from sequencing platforms including 454, PacBio and Illumina; using a variety of genomics software tools. The applicant is expected to have substantial programming skills, including experience with a programming language such as Java or C++ and a scripting language such as Perl or Python. Web programming, database design and implementation experience and genomics skills are desirable but not required. Familiarity with Linux is required. The candidate must have good communication skills and the ability to work as part of a team.

University of Pittsburgh

Hiring Range

  • $25,896.00 - $41,496.00

University Benefits

The University offers an excellent comprehensive benefits package for all full-time and part-time regular employees including:
  • Education benefits and a retirement plan with employer match
  • Group medical insurance, life insurance, and optional vision and dental insurance
  • Free transit service within Allegheny County for employees of the Oakland campus (Port Authority Transit)
  • Time off benefits including vacation, sick and personal time
For more information regarding the University’s benefits package, please visit

Read more/Apply

10 rules
The power of mobile communications has increased dramatically in recent years such that these devices (smartphone or tablet computer) can be used productively to do science. The software applications installed on them do not necessarily have to be specialized to be useful for science, e.g., Evernote can be used as an electronic lab notebook. Twitter is a popular microblogging platform famously limited to messages of up to 140 characters and represents a simple way to express what's on your mind to a global audience of followers. Twitter has useful real-world scientific applications, such as in disease surveillance enabling the tracking of disease pandemics, as well as the capacity to be used for the communication of science itself. Like other professionals, scientists are increasingly tweeting about their own research and the work of colleagues and sharing links to scholarly publications, laboratory results, and related scientific content such as molecular structures. Twitter can additionally serve as a catalyst in the development of scientific tools, with at least one mobile app for science coming directly out of a tweet at a scientific conference.

Common Twitter Abbreviations:

  1. # = hashtag
  2. @ = nametag, a way to reply to someone
  3. .@ = broadcast a tweet that begins with a nametag
  4. RT = retweet, share something already tweeted
  5. HT = hat tip, acknowledge or thank a source
  6. DM = direct message
  7. CX = correction
  8. Tweetup = physical meeting of tweeters

Additional abbreviations can be found elsewhere:

Acronyms for common conferences can be found here:

Ten Simple Rules of Live Tweeting at Scientific Conferences

Rule 1: Short Conference Hashtag

  • As soon as the meeting is announced, conference organizers should claim a short (6–8 characters) descriptive # that includes the year.

Rule 2: Promote the Hashtag

  • Highlight the hashtag in all conference materials online, in print, on name badges, and on Twitter if possible.

Rule 3: Encourage Tweeting

  • Encourage live tweeting at the conference. Session chairs can facilitate this and relay questions from the twitterosphere.

Rule 4: Conference Twitter Etiquette

  • Keep questions short and on the science, avoid grandstanding, encourage responsible tweeting, and avoid harassment or snarkiness.

Rule 5: Conference Tweet Layout

  • List speaker name, affiliation and conference hashtag in the first tweet; surname or initials and meeting hashtag are sufficient thereafter.

Rule 6: Keep Conference Discussion Flowing

  • Summarize presentations concisely, use hashtags for keywords, and use “@ reply” to engage individuals who can add to the discussion.

Rule 7: Differentiate Your Opinions from the Speaker's

  • Separate your own comments/viewpoints on the speaker or science being described in a presentation from the speaker's own words.

Rule 8: Bring Questions up from Outside

  • Check for and raise questions from those outside the conference, returning the speaker responses to positively enforce participation.

Rule 9: Meet Other Live Tweeters Face to Face

  • Organize tweetups so that conference attendees can meet in person and consolidate relationships and collaborations.

Rule 10: Emphasize Impact of Live Tweeting

  • Ensure that positive effects of tweeting at conferences, such as discoveries, publications, or collaborations, are highlighted.

Read the complete article @ PLOS Computational Biology



job details:

The Jackson Laboratory for Genomic Medicine is seeking highly motivated computational and wet-lab scientists for postdoctoral fellow positions.  Faculty at the Jackson Laboratory for Genomic Medicine use genomic, computational, and translational approaches to conduct research to address fundamental biological questions in cancer, stem cells, immunology, diabetes, infectious disease, and microbiome research. (

Postdoctoral fellows are being recruited in the following areas:

Introducing The Jackson Laboratory:

  • The Jackson Laboratory for Genomic Medicine is a new institute in the state of Connecticut, representing an expansion of The Jackson Laboratory, and dedicated to employing genomics to improve human health.  The Connecticut campus is dedicated to advance personalized medicine by using genetic and genomic strategies to understand the complex regulatory mechanisms underlying health and disease.
  • The Weinstock Lab which is studying the microbiomes of humans and other organisms, correlating microbiome structure with disease, and applying genomic techniques to infectious diseases in the clinic and for public health is seeking talented Postdoctoral Fellows (contact: [email protected] to learn more).

Required Skills

  • Candidates should have a PhD and/or MD with an exceptional record of research accomplishments and the enthusiasm to conduct research in a highly collaborative and inter-disciplinary environment.
  • Please forward a cover letter and a copy of your CV for review and consideration.

Job Location


  • 40,000.00 - 60,000.00 USD

Read more/Apply

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