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Field
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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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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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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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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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, 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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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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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 22 hours ago
domains of population research by combining the methods and perspectives of computational sciences, social and behavioral sciences, and statistics. The field has emerged in parallel with rapid technological
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Graduate School Life Science Munich
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University degree in data science, computer science, information science, computational ecology, statistics, or equivalent Competence in Python, R or other relevant programming languages (knowledge of LabView
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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