Post-doctoral fellow (m/f/d) in bioinformatics (TVöD E14, 100%, 24 months)

12.10.2021, Wissenschaftliches Personal

Department of Bioinformatics at the TUM School of Life Sciences is seeking a post-doctoral fellow. The candidate will develop machine learning methods for epitope optimization within the BMBF-funded project “Modeling of host-pathogen interactions with applications to efficient immunization against SARS-CoV-2“. Your qualifications: - A PhD degree in computational biology, bioinformatics, systems biology, computer science, or biology - Excellent knowledge of bioinformatics and biology - Excellent knowledge of machine learning and statistics - Strong programming skills (python, R) - Comfortable with the Linux/Unix environment, databases (MySQL) Our offer: Salary is in accordance with the German public service salary scale: TVöD E14 100%. The position is available from January the 1st, 2022 for 24 months. Your application: Please send your CV and supporting documentation as one PDF file by e-mail to Prof. Dmitrij Frishman ([email protected]). *** Do not send multiple files *** Further information: http://frishman.wzw.tum.de As part of your application, you provide personal data to the Technical University of Munich (TUM). Please view our privacy policy on collecting and processing personal data in the course of the application process pursuant to Art. 13 of the General Data Protection Regulation of the European Union (GDPR) at https://portal.mytum.de/kompass/datenschutz/Bewerbung/. By submitting your application you confirm to have read and understood the data protection information provided by TUM. Find out more about us at www.tum.de.

Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.

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