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, UTN) spend one semester at a German university and then complete a 4-6 month industrial internship. Who can apply? Advanced students of engineering sciences at UTN, who have already completed at least
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Functional Theory (DFT) Familiarity with artificial intelligence methods Good knowledge of electronic structure methods Experience with Linux, Git and related tools Knowledge in the field of high-performance
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instrumentation and high‑performance data acquisition and signal‑processing systems. We contribute to large-scale research projects such as Pierre Auger Observatory, Belle II, CMS, LHCb, FCC-ee, XENONnT, DELight
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are among others: above average academic performance personal suitability for the programme and its objectives knowledge of the German language (at least level B1) good command of English The selection
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Description The Research Training GroupGRK 2868 D³ - Data-driven Design of Resilient Metamaterials funded by the German Research Foundation has started in October 2023. Our vision is to develop and
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. The candidate will collaborate in an international research team on related topics in probabilistic modeling, uncertainty quantification, and high-performance computing, with applications in the natural and
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on high-performance computing and quantum computing platforms Analysis and validation of results using classical reference models and simulation data Documentation of research results and contribution
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Description This PhD project focuses on provision of high quality treated water for green hydrogen (GH2) production. During GH2 production, contamination of feed water by trace concentrations
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, 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 to help you
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quantification, and high-performance computing, with applications in the natural and engineering sciences. The position also includes teaching responsibilities equivalent to 4 contact hours per week, as