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27.03.2026, Academic staff The research group Cyber-Physical Systems of Prof. Matthias Althoff at the Technical University of Munich offers a PhD/Postdoc position in the area of safe data-driven
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
and Medical Imaging (IBMI) at Helmholtz Munich and the Chair of Biological Imaging (CBI) at the Technical University of Munich (TUM) are an integrated, multi-disciplinary research unit, which provide
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and an annual budget of over € 5 billion, the Helmholtz Association is Germany's largest scientific organisation. Where to apply E-mail recruitment@desy.de Website https://www.desy.de/career/job_offers
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systems. The Signal Processing and Sensing (SPS) group participates in national and international research projects addressing relevant topics in the fields of signal processing for mobile communications
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Researcher (R2) Positions Postdoc Positions Application Deadline 1 May 2026 - 00:00 (UTC) Country Germany Type of Contract Temporary Job Status Full-time Hours Per Week 40 Is the job funded through the EU
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partner from data sciences provides data management and AI based Image analysis, an internal simulations group working on quantitative models to reproduce and predict experimental data, and an internal
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to biomedical data is a plus Experience in image processing techniques, such as segmentation, is of advantage Ability to quickly grasp new concepts and work independently on complex problems Ability to work as
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processes of the critical zone For further information visit our website http://www.fz-juelich.de/ibg/ibg-3/EN/Home/home_node.html or contact Prof. Dr. Anja Klotzsche. Your Profile: Master’s degree in
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teaching at various levels Experience in acquiring third party funding would be appreciated Very good command of written and spoken English (at least B2 level according to the CEFR: https://go.fzj.de
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | about 1 month ago
measurements. Implement physics-informed machine learning models to predict mechanical properties from cell morphology. Collaborate closely with experimental teams to integrate transcriptomic and imaging data