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Max Planck Institute of Biochemistry

Postdoctoral Research Fellow in Bioinformatics and Machine Learning Max Planck Institute of Biochemistry in Germany

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available

Deadline

Sep 30, 2026

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Country

Germany

University

Max Planck Institute of Biochemistry

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Keywords

Computer Science
Biomedical Engineering
Biology
Computational Biology
Statistics
Bioinformatic
Machine learning

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About this position

Max Planck Institute of Biochemistry in Martinsried near Munich is advertising a Postdoctoral Research Fellow (m/f/d) in Bioinformatics within the Department of Machine Learning and Systems Biology headed by Prof. Dr. Karsten Borgwardt.

The project focuses on developing machine learning methods for large-scale biological data and connecting predictive modeling with mechanistic understanding. Research applications include genome regulation, spatial proteomics, mass spectrometry, and protein design, using unique datasets generated at the institute.

This is a strong fit for candidates with a Ph.D. in bioinformatics, computational biology, machine learning, computer science, or related fields, especially those with experience in bioinformatic preprocessing pipelines and life-science data analysis. Excellent English skills are required.

The position is a paid postdoctoral appointment with salary according to TVöD. The initial contract is for two years, with the possibility of extension.

Applications should include a one-page motivation/personal statement, CV, bibliography, and contact details for at least two references. Submit via the online application portal by 2026-09-30. Informal inquiries may be sent to borgwardt-office@biochem.mpg.de.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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