170 parallel-and-distributed-computing-"UNIS" positions at Technical University of Munich in Germany
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26.02.2025, Wissenschaftliches Personal We are looking for a postdoctoral researcher (f/m/d) with a PhD in Simulation Technology, Computer Science, Mechanical Engineering, or a related field. About
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storage Innovation in the Machine Learning algorithms for EDA in terms of Computational Complexity, Performance Scores, etc. To learn more about our previous work, please check out our website
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carried out in Neuperlach. The sub-project of the Chair of Architectural Informatics takes place in collaboration with departments of the City of Munich and in exchange with the Munich University of Applied
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for various technologies and develop algorithms and software tools dedicated to accelerating research on multiple levels. We are working at the intersection of computer science, physics, and material science to
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very good master's degree in a topic-related field (computer science, automotive engineering, electrical engineering) Experience in scientific work, project acquisition as well as management experience
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prestigious Humboldt Research Fellowships for the Logistics and Supply Chain Management research group at TUM School of Management. With the scouting program, the foundation aims to attract highly talented
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or computational science Strong mathematical skills and interest in developing new mathematical methods Good knowledge of mathematical/numerical optimization methods or deep learning methods Enthusiasm
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technical field, such as mechanical engineering, computer science, transportation systems, or civil/environmental engineering with a focus on traffic engineering, with very good grades. You bring solid
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01.10.2024, Wissenschaftliches Personal The Chair of "Catalytic Interfaces for Sustainable Chemical Energy Carriers" is recruiting up to 3 Ph.D. students at the Technical University of Munich (TUM) at the earliest start date, ideally in late 2024 or in the beginning of 2025. We will apply...
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that eventually will automate crucial design steps. In addition, we are developing simulators (on various abstraction levels; using, e.g., Computational Fluid Dynamics) which enables us to validate designs