190 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" positions at Technical University of Munich in Germany
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excitations and excitonic effects using advanced Wannier-based methods * Quantum transport in polymer materials with electron–phonon coupling Full details and application instructions: https://www.ch.nat.tum.de
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28.05.2025, Academic staff We are looking for talented and ambitious scientists interested in unique interdisciplinary research, integrating machine learning, molecular simulations, statistical
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Optimization (DPO) and reinforcement learning from human feedback, building preference datasets together with clinicians - Build and run a Red Team process with physicians, computer scientists, and patient
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9 Feb 2026 Job Information Organisation/Company Technical University of Munich Department Computer Engineering Research Field Technology » Communication technology Researcher Profile First Stage
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25.03.2026, Academic staff Applications are invited for a fully funded PhD position exploring the intersection of reinforcement learning, space-craft dynamics, and formal verification within
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application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: contact.btd@ls.tum.de More Information https://www.lse.ls.tum.de/btd/home/
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application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: adrian.doerfler@tum.de More Information http://www.mos.ed.tum.de/nma
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application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: friedrich.esch@tum.de More Information http://www.ch.nat.tum.de/pc
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tailored computational methods are needed. This project aims at combining probabilistic machine learning methods with prior knowledge in the form of graphs to analyze and predict food-effector systems. Key
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reproducible research practices. Your responsibilities Develop and implement computer vision and image processing algorithms for star tracking and satellite detec-tion using event cameras. Design and build a