Two PhD position( 3 to 3.5 years) in Bioinformatics @ RESEARCH CAMPUS MODAL,Freie Universität Berlin

image
Freie Universität Berlin is a leading research institution. It is one of the German universities successful in all three funding lines in the federal and state Excellence Initiative, thereby receiving additional funding for its institutional future development strategy.
Freie Universität can thus take its place as an international network university in the global competition among universities. Development and assessment of research projects takes place within various focus areas, research networks, and platforms for interdisciplinary collaborative research.

PhD position #1:MODAL-ML3

We are looking for exceptionally qualified students to complete a PhD (in 3 to 3.5 years) at the interface between applied mathematics, statistics and bioinformatics in the broad area of ANALYSIS OF COMPLEX PROTEOMICS MASS-DATA.
  • The focus of this project is the development and implementation of new methods for Proteomics data analysis using state-of-the-art in-memory database systems. In particular, the goal is to develop a fully functional analysis pipeline for early disease diagnosis.
The position is embedded into the newly established research campus MODAL which is focused on developing ground breaking and novel techniques for modeling, optimization and analysis of complex real-world data, i.e. performing high impact interdisciplinary research which can be applied in a variety of disciplines.

QUALIFICATIONS & ELIGIBILITY

  • Candidates should posses a strong background in computational sciences (e.g. a M.Sc. in numerical mathematics, signal processing, and/or bioinformatics) and ideally solid experience with data analysis. Furthermore, candidates should have experience in software development, some experience from cross-disciplinary research and excellent communication skills. All applicants must be fluent in spoken and written English. Preference will be given to applicants with publications in the relevant areas.
Ideally, candidates also have experience in one or more of the following areas: Proteomics, analysis of very large data-sets, in-memory database technology, machine learning.

APPLICATION

Expressions of interest should be sent through this application portal together with a short CV, a statement of courses and examination results and contact information for 2 references who have agreed to speak about you, your work, and your potential. All applications will be reviewed rapidly and promising applicants will be invited to an interview in Berlin.

CONTACT

Apply online

image

PhD position #2: MODAL-ML4

We are looking for exceptionally qualified students to complete a PhD (in 3 to 3.5 years) at the interface in between applied mathematics, statistics and bioinformatics in the broad area of PATTERN RECOGNITION IN COMPLEX MASS-DATA FOR EARLY CANCER DIAGNOSTICS
  • The focus of this project is the development and implementation of new and existing methods for mass-omics data analysis using state-of-the-art in-memory database systems. In Particular, the goal is to develop in internet-based analysis portal for pattern recognition and classification of complex omics mass-data.
  • The position is embedded into the newly established research campus MODAL Which is focused on developing development groundbreaking and novel techniques for modeling, optimization and analysis of complex real-world data, ie performing high impact interdisciplinary research Which can be of proving in a variety of Disciplines.

QUALIFICATIONS & ELIGIBILITY

Candidates Should posses a strong background in computational sciences (eg a M.Sc. in numerical mathematics, signal processing, and / or bioinformatics) and Ideally solid experience with data analysis.Further More, shoulderstand candidates have experience in software development, some experience from cross-disciplinary research and excellent communication skills. All Applicants must be fluent in spoken and written English. Preference will be givenName to Applicants with publications in the relevant areas.
  • Ideally, candidates therefore have experience in one or more of the Following areas: analysis of very large biological data sets, in-memory database technology, machine learning, graphical user interfaces.

APPLICATION

Expressions of interest shoulderstand be sent through this application portal together with a short CV, a statement of courses and examination results and contact information for two references who have Agreed to speak about you, your work, and your potential. All applications will be reviewed and proceed rapidly promising Applicants will be invited to interview at Berlin.

CONTACT

Apply online

image

Read more

The position is embedded into the newly established research campus MODAL which is focused on developing ground breaking and novel techniques for modeling, optimization and analysis of complex real-world data, i.e. performing high impact interdisciplinary research which can be applied in a variety of disciplines.