190 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions at Technical University of Munich
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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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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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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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Regulation (GDPR)). By submitting your 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
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collection (e.g. case studies, surveys, experiments) Teach courses at the Technical University of Munich (limited teaching load) The Professorship offers: A stimulating research environment at one of Europe’s
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individual career development. More information about the group is available at https://www.ep.mgt.tum.de/en/gia/home. Payment will be based on the Collective Agreement for the Civil Service of the Länder (TV
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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
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to co-authored publications. You will work along a structured project plan with clear milestones for each semester. As part of the doctoral studies at TUM Graduate Center (LINK), you will learn
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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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data Your Profile The ideal applicant has a strong background in bioinformatics and/or probabilistic machine learning, as well as experience in omics data analysis, and possesses solid English-language