207 assistant-and-professor-and-computer-and-science-and-data-"U" positions at Technical University of Munich
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02.07.2025, Wissenschaftliches Personal The Professorship of Energy Management Technologies at TUM’s School of Engineering and Design is looking for a Postdoc (f/m/d) in Energy Informatics. You are
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, OpenFOAM), and 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
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in several Bachelor and Master programs offered by the School of Engineering and Design and the School of Computation, Information and Technology. You will help us to prepare teaching material, serve
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a focus in economics, or related disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation
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the perspective towards generating data for entrepreneurial seed funding (GO-Bio etc.) for a further development of the technology towards the market. In that sense we also highly encourage candidates that would be
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27.05.2025, Wissenschaftliches Personal At the Technical University of Munich (TUM), we offer a Science Coordinator position (m/f/d) to shape, coordinate and manage the newly established Climate
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14.08.2025, Wissenschaftliches Personal PhD (f/m/d) in Polymer Physics/Material Science funded by ERC StG with excellent opportunities for both research and career development. The Technical
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tools? This research area sits at the intersection of Human-Computer Interaction (HCI), Artificial Intelligence (AI), and Software Engineering (SE). The goal is to design and evaluate new interaction
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in several Bachelor and Master programs offered by the School of Engineering and Design and the School of Computation, Information and Technology. You will help us to prepare teaching material, serve
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, international and impact-oriented team. We have world-leading expertise in the philosophy, history and social studies of biology, biomedicine and environmental science; Open Science; data-intensive research; and