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The Fraunhofer Institute for Digital Medicine MEVIS is a world-leading and internationally connected research center for computer assistance in medicine. With about 140 employees, our mission is to
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movement by high-resolution fluorescence microscopy and/or magnetic/optical tweezers, (iv) quantitative image processing, data analysis and modeling. The project is funded by the MARIE SKŁODOWSKA CURIE
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-time data acquisition during production, consulting, and prototype manufacturing. We aim to eliminate distortion due to residual stresses during the milling and turning processes using simulations. We
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movement by high-resolution fluorescence microscopy and/or magnetic/optical tweezers, (iv) quantitative image processing, data analysis and modeling. The project is funded by the MARIE SKŁODOWSKA CURIE
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/d) in Energy Informatics. You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and would like to work in a vibrant and international research
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PostDoc (m/w/d) position on “Biological engineering of novel gene reporters for Electron Microscopy”
20.02.2025, Wissenschaftliches Personal Synthetic Biology and Molecular Imaging project on generating “GFP for Electron Microscopy” via genetic- and protein-engineering of EM-visible nanostructures
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" "Mathematics for vehicle development" "System analysis, prognosis and control" "Transport processes" "Image Processing" "High Performance Computing" "Financial Mathematics" "Materials characterization and
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information visit the Guidelines on Ex-post Evaluation (PDF). Programme timeframe Icon Applicants Applicants Icon Foundation Foundation Icon Notification Notification Scout selection procedure Active scouting
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of LLMs for trainings Develop and evaluate a prototype that uses LLMs to create dynamic software security micro trainings What you bring to the table You are studying Computer Science or a comparable course
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and verifiably safe. We consider resilience and intelligence to be part of the same process. What you will do Quantum computing is predicted to be a disruptive, emerging technology with potential