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Fabian Theis

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1 month ago

Postdoctoral Fellowship in Computational Biology, AI, and Systems Neurology (NOMIS–SyNergy, Munich) Technical University of Munich in Germany

Degree Level

Postdoc

Field of study

Computer Science

Funding

The fellowship is part of a prestigious, sustainably funded cluster supported by the NOMIS Foundation and the DFG-funded Munich Cluster for Systems Neurology (SyNergy). It offers long-term support, access to world-class research environments, and personal mentorship. Specific stipend amounts and tuition coverage are not mentioned.

Deadline

Mar 31, 2026

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Country

Germany

University

Technical University of Munich

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Keywords

Computer Science
Molecular Biology
Neurology
Biology
Artificial Intelligence
Computational Biology
Systems Biology
Neuropsychology
Medical Science

About this position

The NOMIS–SyNergy Fellowship Program in Systems Neurology offers elite postdoctoral positions in Munich, Germany, focusing on computational biology, artificial intelligence, neuroscience, and systems neurology. Hosted within the interdisciplinary SyNergy excellence cluster, this opportunity is ideal for early-career scientists with a strong background in neuroscience, molecular biology, systems biology, clinical neurology, or computational biology. Fellows will engage in cutting-edge research at the intersection of systems-level biology and neuroscience, contributing to insights into disease mechanisms and translational innovations.

The program is supported by the NOMIS Foundation and the DFG-funded Munich Cluster for Systems Neurology, providing access to a world-class research environment, including two Excellence Universities and several Max Planck and Helmholtz Institutes. Fellows will join an international network of NOMIS Fellows and receive tailored mentorship from renowned principal investigators in academia and industry. The cluster is entering its third seven-year funding phase, ensuring long-term support and unique career development opportunities, including the chance to develop independent scientific projects and prepare for leading a research group.

Applicants must have completed a PhD or MD and demonstrate scientific excellence, independent thinking, and a bold vision for interdisciplinary research. Application materials include a CV with a full publication list, up to two best publications, and a two-page research proposal for an innovative project to be carried out in a SyNergy lab of choice. Prior to applying, candidates must contact a PI to discuss project ideas and secure agreement. Applications are to be submitted as a single PDF to [email protected] by March 31, 2026.

For more information, visit the SyNergy website or contact the program coordinators. This fellowship provides an exceptional platform for postdoctoral researchers to advance their careers in computational biology, AI, and neuroscience within a vibrant and collaborative scientific community in Munich.

Funding details

The fellowship is part of a prestigious, sustainably funded cluster supported by the NOMIS Foundation and the DFG-funded Munich Cluster for Systems Neurology (SyNergy). It offers long-term support, access to world-class research environments, and personal mentorship. Specific stipend amounts and tuition coverage are not mentioned.

What's required

Applicants must have completed a PhD or MD and possess a strong background in neuroscience, molecular biology, systems biology, clinical neurology, computational biology, or related fields. A track record of scientific excellence, independent thinking, and a bold vision for interdisciplinary research are required. Applicants must contact a PI to discuss project ideas and secure agreement prior to applying. Submission of a CV with publication list, up to two best publications, and a two-page research proposal is required.

How to apply

Contact a SyNergy PI to discuss project ideas and secure agreement. Prepare a single PDF with your CV, publication list, up to two best publications, and a two-page research proposal. Submit your application to [email protected] by March 31, 2026.

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