Postdoctoral researcher (f/m/d) in Computational Biology and machine learning
Technische Universität München (TUM)
Universidad Estatal (Alemania), Examinar oportunidades similares
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Universidad Estatal (Alemania), Examinar oportunidades similares
The Institute for Medical Microbiology, Immunology and Hygiene (MIH) at the Technical University of Munich is looking for a postdoctoral scientist (f/m/d) to join the group of Computational Biology. The position is immediately available and is currently secured until 31.12.2022.
Research focus
Our group uses data-driven mathematical modeling, bioinformatics and machine learning methods to elucidate differentiation programs in immune cells and to inform pharmacological therapy (Pinto-Sietsma/Flossdorf et al. European Heart Journal – CVP 2020, Kretschmer/Flossdorf et al. Nature Communications 2020). Close collaboration with immunologists and clinicians and the integration of theoretical and experimental work is at the heart of our research.
Your tasks
The successful candidate will work closely with Dr. Atefeh Kazeroonian to develop and employ novel machine learning, mathematical and bioinformatics methods to address important biological questions with high clinical and immunological relevance. The two main focus areas will be:
Your profile
We are looking for highly motivated applicants with following qualifications:
We offer you
We offer you exciting and challenging computational biology projects within a dynamic and collaborative research environment. We especially offer you the opportunity to develop your own research ideas and contribute to the development of the team e.g. in terms of proposal writing. Access to high-quality experimental data based on state-of-the-art technologies is ensured through our close collaborations with different laboratories within the Institute of Medical Microbiology, Immunology and Hygiene (MIH).
Salary is paid according to remuneration group 13 TV-L of the pay scale for the German public sector. TUM is an equal opportunity employer. Therefore, women are especially encouraged to apply. Preference will be given to disabled candidates with essentially the same qualifications.
Applications
Complete applications should be sent to Dr. Michael Floßdorf (michael.flossdorf@tum.de) and Dr. Atefeh Kazeroonian (atefeh.kazeroonian@tum.de). Please include a CV, a cover letter explaining why you are interested in the position and how you fit the profile, a brief summary of previous work experience and contact information of at least two referees. The application deadline is 15.02.2021.
Contact: atefeh.kazeroonian@tum.de
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