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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | about 1 hour ago
qualification PhD in fluid dynamics, physics, applied mathematics, computer science, or a related field. Experience with machine learning, numerical methods for PDEs, TensorFlow or PyTorch, and Python. Experience
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cancer. The job The technology of photoswitching-optoacoustics bears massive promise to visualize small cell populations and their functionality without background deep in the live animal (see Stiel, Nat
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Engineering, Electrical Engineering, or a closely related field Proven research experience and publication track record in robotic manipulation, deformable object handling, or related domains Hands
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a unique bridge between management and technology. The TUM Campus Heilbronn is a dynamic organization whose goal is to achieve excellence in research, teaching and impact. Your tasks: • Contribute
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: PhD in CS/ML/medical informatics, strong publication record, and hands-on experience with generative models in medical imaging. Postdoctoral Research Associate (f/m/d) EU Research Project TWIN-X Full
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mission is to ensure safety in technology and chemistry. We perform research and testing in materials science, materials engineering and chemistry to improve the safety of products and processes. At BAM we
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The Children’s University of Tübingen Neuroscience student lab Kastanienhof – Dialogue Demokratie Zukunftsfest Careers Back Job vacancies IT & library / technology & maintenance / administration Professorships
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use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography. Industry
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Doctoral (TV-L E13, 65 %) and Postdoctoral Researcher Positions (TV-L E13, 100 %) in Microbial Commu
wet-lab or computational focus to decode microbial balance in a highly collaborative and multidisciplinary research network a comprehensive mentoring program with supervision by a team of advisors top
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department, Applied Cybersecurity, focuses cutting-edge problems in the foundations and applications of cryptography, including privacy‑enhancing technologies, secure and verifiable computation, and securing