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existing technologies, right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is
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collaboration with the team in Tübingen and with the parallel team based in Leuven. The candidate will collaborate with research carried out within the same period at KU Leuven by T. Nelis (FitMA) on the earlier
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10.05.2024, Academic staff The Munich Institute of Integrated Materials, Energy and Process Engineering (MEP), based in Garching, is an integrative research center that combines the areas of 4D
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reduction, nonlocal PDE operators or OpenMP/MPI/CUDA parallelization? If such terms are familiar for you - and if you are excited by the mathematical analysis, development, and rigorous understanding
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, biomolecules, vesicles, and nanoparticles – to engineer colloidal systems and interfaces with targeted functionality and selective molecular recognition. In parallel, we develop advanced characterization
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 2 months ago
area # Good knowledge of electronic structure methods for crystals and 2D materials # Experience with parallel computing paradigms # Good knowledge of numerical methods # Experience with high-performance
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the case of challenging environmental conditions, the method of multi-scale parallel single-pixel imaging has the potential to enable breakthrough advances. The “image processing and AI” group contributes
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parallel, they participate in the comprehensive BIGS DrugS education programme, which includes workshops, lectures, colloquia and symposia. Mentoring is performed by two experienced scientists, the direct
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skills and the ability to track parallel workstreams, deadlines and deliverables with high reliability. Very strong written and oral communication skills in English and German (C1); ability to draft and
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19.07.2022, Academic staff The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current focus on deep