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project involves interdisciplinary research at the interface of computer science and mathematics, with a focus on bivariate molecular machine learning for modeling molecular interactions and properties
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PhD project involves interdisciplinary research at the interface of computer science and mathematics and addresses a complex, coupled inverse problem with explicit uncertainty quantification. Research
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physics, mathematics or any related field. What we offer State of the art on-site high performance/GPU compute facilities Competitive research in an inspiring, world-class environment A wide range of offers
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together with other chairs being part of the RTG. Requirements: good or very good university degree in meteorology, aerospace engineering, mechanical engineering, physics, mathematics, robotics, or a related
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, their achievements and productivity to the success of the whole institution. At the Faculty of Mathematics, Institute of Scientific Computing, the Junior Professorship in Applied Mathematics offers a position as
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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or comparable with deep knowledge in continuum mechanics, structural analysis, advanced mathematics, modelling and simulation We are looking for first-class graduates with expertise in the RTG
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and together with other chairs being part of the RTG. Requirements: good or very good university degree in aviation, transportation and logistics, computer science or comparable knowledge in traffic
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engineering or mechanical engineering or comparable with deep knowledge in continuum mechanics, structural analysis, advanced mathematics, modelling and simulation We are looking for first-class graduates with
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an outstanding Master’s (or equivalent) degree in experimental life sciences, computational/mathematical/biophysical sciences, or a related field. We seek individuals with a strong interest in