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10.06.2025, Professuren The Technical University of Munich (TUM) invites applications for the position of Professor in » Computational Methods in Civil and Environmental Engineering « W3 Associate
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 10 hours ago
, computer science or formal demography) with population scientists in order to foster cross-pollination of ideas, to advance methods and theories of demographic research, and to address pressing scientific and
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range of technologically relevant scientific questions. As part of the Baden-Württemberg Quantum Computing Competence Center, we work with partners to explore how current and future quantum computers can
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) is considered valuable for integrating perception with control during deployment. Your Profile: Current master studies in physics, computer mathematics, electrical/electronic engineering or a related
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The University of Bayreuth is a research-oriented university with internationally competitive, interdisciplinary focus areas in research and teaching. The Faculty of Biology, Chemistry & Earth
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bachelor and master programs, explicitly in the newly established M.Sc. program Human Factors Engineering. Qualifications We are looking for candidates who have demonstrated excellent achievements in
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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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Max Planck Institute for Demographic Research, Rostock | Rostock, Mecklenburg Vorpommern | Germany | about 4 hours ago
digitalization of data and of people’s lives. Our group brings together methodologists (from areas like statistics, computer science or formal demography) with population scientists in order to foster cross
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are in engineering sciences, mathematics, computer sciences, natural sciences and medicine. Our economics, social sciences and humanities are indispensable and crucial disciplines in a modern university
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medicine in life sciences. Our platform will empower researchers to collaborate across institutions, utilizing cloud and on-premise computing and storage resources to drive scientific innovation