30 computer-science-programming-languages-"the"-"U"-"UCL"-"IMPRS-ML"-"Prof"-"St" positions at Technical University of Munich in Germany
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and the Institute for AI and Informatics in Medicine, both at TUM and the TUM University Hospital (Klinikum rechts der Isar). We develop and translate advanced machine learning for 3D/multimodal medical
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of Orthopaedics and Sports Orthopaedics and the Institute for AI and Informatics in Medicine. We work at the intersection of artificial intelligence, medical imaging, and clinical practice, developing methods
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in production engineering issues and their investigation Enjoyment of supervising and programming technical systems Purposefulness and independent working style Creativity and willingness to experiment
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writing. Drive the publication of research results in top-tier robotics conferences and journals. Requirements Ph.D. in Robotics, Mechanical Engineering, Electrical Engineering, Computer Engineering, or a
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performance Requirements Ph.D. in Robotics, Mechanical Engineering, Electrical Engineering, or a closely related field Proven research experience and publication track record in robotic manipulation, deformable
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and networking opportunities within the Munich AI ecosystem and within structured graduate programs: the Munich Centre for Machine Learning (MCML), the Munich Data Science Institute (MDSI), the local
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/d) in Energy Informatics, specifically for a DFG project in wind power forecasting using machine learning. You are passionate about applying cutting-edge information technology to solve the energy and
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your research at conferences, workshops, and through scientific publications. Your profile: ▪ You hold an MSc degree in physics, engineering, or computer science. ▪ You are very experienced in Python
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Sciences (Physik), Technische Universität München Startdatum: Oktober 2025 - ENGLISH: PostDoc and PhD positions in Quantum Simulation Theory, Positions: 2-3 years (PostDoc) & 3-4 years (PhD), Location
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or Postdoc Position in Numerical Mathematics m/f/d, 100%, 2 years+ As part of the second phase of the DFG funded Priority Programme SPP2311, the Chair for Numerical Mathematics under the leadership