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PhD Student position (65% E13, 3 years, available immediately) in the newly
established group for Computational Systems Medicine at the Chair of
Experimental Bioinformatics, Technical University of Munich, Freising, Germany.

Project description:
Diseases are currently defined and diagnosed based on symptoms (e.g.,
hypertension, depression) or affected organs (e.g., heart failure,
nephropathy). Clearly, there is a lack of mechanistic understanding of diseases
that could improve disease definitions and allow for more informed selection
and development of therapies. To achieve such understanding we develop
integrative bioinformatics methods leveraging network analysis, machine
learning techniques and statistical approaches. Your work will focus on the
development of graph-based machine learning techniques to identify disease- and
patient-specific dysregulated subnetworks.

What you should have:
- Degree in bioinformatics, molecular biology, computer science, or similar
- Solid understanding of molecular biology
- Experience with omics data analysis, graph theory / network biology, and machine learning
- Strong programming skills in Python, R, and / or Java
- Familiarity with Linux and HPC environments
- Fluency in written and spoken English
- Strong commitment and motivation, ability to work collaboratively

What we offer:
At the Chair of Experimental Bioinformatics you will find a
supportive and productive research environment with a young, dynamic team of
more than 20 international researchers at different stages in their career and
education. Find us online at: https://www.exbio.de and
https://compsysmed.de.

Send your application including your CV, grades, publications (if any) and two
reference letters to Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!.