148 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:" positions at Technical University of Munich
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measured data Your Profile We are looking for a motivated and independent candidate with a strong background in physics or engineering. Required qualifications: - Master’s degree in Physics, Electrical
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publications and open-source research software. Your Skills and Professional Profile (required) Master’s degree in robotics, mechanical engineering, electrical engineering, computer engineering, or a closely
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plasma physics (XGC, IPPL). Expected qualifications: A Master's degree in Computer Science or Applied Mathematics. Necessary knowledge: Modern C++, GPU computing with CUDA/SYCL, MPI, Krylov solvers
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for admission to a Ph.D. program at TUM. More infor-mation on a doctorate at TUM can be found on the websites of the TUM Graduate School and of the Graduate Center of Engineering and Design. What we offer Full
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Master’s degree in physics, chemistry, materials science, chemical engineering, or a related field who are excited about applying machine learning and data science to real-world materials challenges
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, Mechanical Engineering, Electrical Engineering, Computer Engineering, or a closely related discipline. Strong research interest in telerobotics, shared control, human–robot interaction, or networked control
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Europe • Membership in the International Graduate School of Science and Engineering (IGSSE) and participation in the course program (https://www.igsse.gs.tum.de/en/igsse/about/) • IGSSE-funded doctoral
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: The successful applicant must have the following: • PhD degree in natural sciences, electrical engineering, physics, optics, medical technology, biomedical computing, or related fields • Experience in
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information of TUM. Kontakt: contmech@mw.tum.de More Information https://www.epc.ed.tum.de/ddmm/aktuelles/article/phd-position-in-collaboration-with-bmw-on-data-driven-modeling-of-structural-foams-for-high
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of the operation of helicopter systems. • Confident handling of Python and common data science tools. • Knowledge of high-performance computing and machine learning. • Fluency in written and spoken German and