55 assistant-professor-computer-science-data-"St"-"St" Postdoctoral positions at Technical University of Munich
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02.07.2025, Wissenschaftliches Personal The Professorship of Energy Management Technologies at TUM’s School of Engineering and Design is looking for a Postdoc (f/m/d) in Energy Informatics. You are
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. Dr. Barbara Wohlmuth, Chair of Numerical Mathematics (M2) TUM School of Computation, Information and Technology Boltzmannstraße 3, D-85748 Garching Please do not submit original documents! We kindly
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motivated PhD students, interns, and PostDocs at the intersection of computer vision and machine learning. The positions are fully-funded with payments and benefits according to German public service
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, Human-Computer Interaction, and their responsible applications. Ideal candidates will have: An M.Sc. degree (or equivalent) in Computer Science, Game Engineering, Mathematics, Statistics, or related
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of clinicians, engineers, and computer scientists, and contribute to publications and conference presentations. Profile PhD track: Master’s degree in Computer Science, Biomedical Engineering, Data Science, or
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. Publish and present findings in international journals and conferences. Supervise and mentor junior researchers and students. Profile PhD in Computer Science, Biomedical Engineering, Data Science, or a
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the research group of Deniz Kus, Professor for Representation Theory at the Department of Mathematics, part of the TUM School of Computation, Information and Technology (CIT), located on the Garching Campus
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of Computation, Information and Technology (CIT), located on the Garching Campus, starting October 01, 2025 or later. The group is seeking a highly qualified candidate for a postdoctoral position who possesses
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. Involvement in immunology projects with single-cell transcriptomic data analysis. Bioinformatician/Computational Biologist/Systems Immunologist (f/div/m) for two years initially with a possibility of extension
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, enrichment analyses - biological interpretation of data Your qualification - PhD/MSc degree in bioinformatics, computer science, mathematics, life sciences - background in Machine Learning and/or RNAseq