16 computer-science-postdoc Postdoctoral research jobs at Technical University of Munich in Germany
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Informatics Initiative (MII)/FHIR standards Design and implement methodological concepts and software for benchmarking frameworks for AI evaluation Independently develop and implement research ideas within
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02.07.2025, Academic staff 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 passionate
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Scientific and operational leadership of the Protein Design Accelerator in the Technology Hub Development and maintenance of computational pipelines and scripts for protein design workflows, including design
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qualifications: • A completed Master’s degree (or equivalent) in a relevant discipline, such as philosophy, neuroscience, psychology, medicine, law, social sciences, computer science, or a related field • Strong
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-average doctoral degree (PhD or equivalent) in management, organizational psychology, sociology, economics, business informatics, or a related field, • With a solid knowledge of empirical research methods
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of History and Ethics in Medicine, we advance ethical practice and theory in medicine, biomedical technology, and public health, driven by the belief that embedding ethics is essential for shaping the future
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combines cutting-edge computational techniques with traditional social science methods and we are equally interested in methodological innovation and in the broader consequences of automation for democratic
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02.12.2025, Wissenschaftliches Personal As of now, we are looking to extend our team with a full-time Postdoc Position: Kinetic Mechanism Development of Low-GWP Fluorinated Refrigerants (m/f/d), TV
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facility and is looking for a PostDoc (f/m/d) The Mission The reliable generation of organoids and gastruloids at scale requires both advanced stem cell biology and cutting-edge automation. Within
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at companies and technology transfer organizations. Research focus and tasks of the Postdoc position You engage in one of our two research fields: · Multistage planning under uncertainty (e.g., aggregation