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for the development, calibration and validation of the corresponding advanced multi-physics computational models. You will collaborate closely with a postdoctoral researcher responsible for in-situ fatigue testing
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
three years emphasizing the development and testing of next-generation serious gaming approaches with respect to construction safety, health, and well-being or emergency response applications. This PhD
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, optimization, control, game theory, and machine learning. Interdisciplinary by design: Work at the intersection of energy systems and markets, privacy and cybersecurity, forecasting, optimization, control, game
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
» Mechanical engineering Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Denmark Application Deadline 19 Oct 2025 - 23:59 (Europe/Copenhagen) Type of Contract
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(AIPs). In this interdisciplinary and highly collaborative project, funded by the Novo Nordisk Foundation Disease Catalyst program, we will target the biosynthetic machinery and receptor tyrosine kinase
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Research Framework Programme? Horizon Europe - MSCA Reference Number DC6 Marie Curie Grant Agreement Number 101225914 Is the Job related to staff position within a Research Infrastructure? No Offer
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the development of advanced computational multiphysics models of stress corrosion cracking and coupling these with process-microstructure models (being developed within MicroAM project). Main focus will be
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of Biology, E-mail: lellgaard@bio.ku.dk, Direct Phone: +4532351725, website: https://www1.bio.ku.dk/english/research/bms/pbg/le/ . The PhD programme Depending of your level of education, you can undertake the
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The Centre for Machine Learning located under the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark invites
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detail. However, the effective extraction of meaningful insights from these vast datasets requires sophisticated computational methodologies, interdisciplinary collaboration, and a tight interplay with