24 postdoc-image-encryption Postdoctoral research jobs at Technical University of Munich
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17.11.2022, Wissenschaftliches Personal TUM School of Management at TUM Campus Heilbronn invites applications for a Postdoc position (m/f/x) in the area of Entrepreneurship / Family Enterprise
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via email to applications@mirmi.tum.de quoting “Postdoc Position in Dexterous End-Effectors for 6G Tactile Tele-surgery” in the e-mail subject line. The position will be filled as soon as possible and
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advanced wet-lab experience in molecu-lar biology and in reverse genetic approaches. You fit to us: • You are an outstanding and highly-motivated postdoc-toral researcher with the ambition and commitment
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any scientific field of the project. Our Principal investigators commit to hiring the postdoc on a 100% position for the two year period (for this call, the duration will initially be until the end
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medical machine learning for a talented postdoctoral researcher (f/m/d) to deepen their expertise and interest in machine learning for medical image analysis and build their early scientific career. About
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subject “Postdoc Application – [First and last name].” In your email, please include a short motivation letter less than 1 page, your CV including list of publications, a reference letter from your PhD
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Do a PostDoc in Pathology AI! 11.10.2023, Wissenschaftliches Personal The Computational Pathology Lab at the Technical University of Munich (TUM), TUM School of Computation, Information and
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in September 2025 or shortly after, for a term of 4 years. The postdoc will join the ERC-Starting Grant project team on “Participatory Algorithmic Justice: A multi-sited ethnography to advance
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. The role involves setting up experimental models using Particle Image Velocimetry (PIV) and performing Computational Fluid Dynamics (CFD) simulations to analyze fluid flow and deposition patterns. The data
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18.10.2022, Wissenschaftliches Personal The lab for Artificial Intelligence in Medical Imaging (www.ai-med.de) is looking for a Post-Doc. The task will be the multi-modal modeling of medical data