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Scientific Personnel 05.03.2026, Academic staff BioSysteM Cluster of Excellence at TUM invites applications for a Postdoctoral Researcher (m/f/d) to lead and further develop the Protein Design
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talent development. The Terrestrial Ecology Research Group is part of the Department of Life Science Systems in the TUM School of Life Sciences and is based in Freising, Germany. We do fundamental research
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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 12 days ago
backgrounds to collaborate and develop their skills to bridge molecular, cellular and organismal levels. You can learn more about our work . We seek candidates with a strong background in planning and
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the analysis of complex biomedical data using state-of-the-art AI and agentic system approaches, as well as the development of novel machine learning and deep learning algorithms. Your work will range from
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development. It is one of the world's leading research institutions in its field and offers natural and social scientists from around the world an inspiring environment for excellent interdisciplinary research
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Max Planck Institute for Biological Intelligence (Martinsried site), Martinsried | Germany | 11 days ago
/Seewiesen), the Max Planck Institute for Human Development (Berlin), and Technische Universität Dresden, and will work closely with experts in neuroimaging, behavioural neuroscience, and cross-species data
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-specific didactics, and AI development. A central feature of the approach is its co-design process: teachers, students, and school administrators are actively involved in shaping the systems to ensure
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teaching activities and will contribute to the curricula development of the Chair group. He/she will further lead and contribute to competitive project funding bids. The successful applicant will develop his
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-omics data with functional perturbation datasets. Through integrative computational analyses, the aim is to move beyond descriptive characterization and develop quantitative frameworks that define
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the design of an AI test environment for open-source Large Language Models (LLMs). Research on the influence of low-frequency expert data on LLM-based systems and development of robust strategies