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08.04.2022, Wissenschaftliches Personal Development of Lattice-Boltzmann solver, programming in C/C++ and CUDA, implementation on GPU cluster, testing of real-time capable software on flight
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discipline. You have experimental experience in soft matter, fluid physics, biological physics or a related discipline. You enjoy working in interdisciplinary and international teams and have basic programming
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international teams and have programming skills. In addition, you are able to express yourself confidently both orally and in writing in English. What we offer We offer a three-year contract with the possibility
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24.02.2022, Wissenschaftliches Personal The Munich Quantum Valley aims at developing a full quantum computing stack, from the application level to the physical quantum hardware. Within
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
E13). TUM strives to raise the proportion of women in its workforce and explicitly encourages applications from qualified women. Applications from disabled persons with essentially the same
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established Bachelor programme „Information Engineering“ in Heilbronn which is taught in English. The Faculty of Informatics at the Technical University of Munich intends will fill a position at the earliest as
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10.01.2022, Wissenschaftliches Personal The Chair of Computational Modeling and Simulation (CMS) at Technical University Munich invites applications for the position of a Research Assistant (m/f/d
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communicative and flexible and you enjoy working independently. - the research project is national, so speaking and writing German is an advantage. - LCA software and/or python programming experience is an
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the position involves teaching obligations, very good proficiency in German is required. The application material should include (1) a cover letter describing the interest in the position, (2) a CV, (3
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application to the European mission of a Digital Twin Earth. ML research directions will include physics-aware machine learning, reasoning, uncertainty estimation, Explainable AI, Sparse Labels and