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29 Jul 2026 Job Information Organisation/Company Technische Universität München Department School of Social Sciences and Technology Research Field Philosophy » Philosophy of science Anthropology
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
how can we extract it reliably? The Institute for Biological and Medical Imaging (IBMI) is looking for a curious and persistent PhD candidate (f/m/x) who wants to discover new biological and medical
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evaluation strategies. In close collaboration with chemists, engineers and data scientists, a platform is being developed that combines materials development, process optimisation and machine learning
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Position - Quantum Computing for Power Systems Security At the Institute of Climate and Energy Systems Engineering (ICE-1), we
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16.05.2026, Academic staff For applications in networks of robots and unmanned aerial vehicles, reliable coordination is essential. Such systems are particularly vulnerable to jamming and
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programme No Joint degree / double degree programme No Description/content The Konrad Zuse School of Excellence in reliable AI (relAI) offers fully funded positions for doctoral researchers in the field
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Degree Dr Course location Potsdam In cooperation with The innovative PhD and postdoctoral scholarship programme is offered in conjunction with the Faculty of Digital Engineering, a faculty jointly
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& harmonisation — Using text, images, omics, citizen science Explainability & credibility — Interpretable, trustworthy models; links to causal inference Robustness in non-i.i.d. data — Reliable learning under
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Germany GmbH and the Engineering Risk Analysis Group of Prof. Straub, which provides information on both the health and the actual stress of helicopter components. For this so-called “Health and Usage
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and Reliable Artificial Intelligence to be occupied starting from the 01.10.2022. The Trustworthy and Privacy-Preserving AI Group (PI: PD Dr. Georgios Kaissis) at the Institute for AI in Medicine