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of Prof. Georg Madsen, with regular shorter research stays at Aarhus University. The project combines density functional theory (DFT), machine-learned force fields and atomistic simulations to uncover how
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students to analysing multimodal learning data (e.g., individual as well as collaborative verbal interactions, student gestures, task and activity sequences) and evaluating long-term learning outcomes. As
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of secure machine learning within the general study programme
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communication skills in English. The ability to work independently and collaboratively within interdisciplinary teams. Prior background in privacy-preserving machine learning, distributed training, large language
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close collaboration with the Technical University of Denmark (DTU), University of Toronto, Stanford University, and Utrecht University, and research visits to partner facilities may form part of
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for Statistical and computational Methods for Advanced Research to Transform biomedicine (SMARTbiomed) within the field of statistical and machine learning methods development for genetic analysis and causal
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will join an interdisciplinary team working across electrolysers, Power-to-X systems, power electronics, control, digital twins, and energy-system optimization, in close collaboration with the Technical
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committed to problem-based learning, and you are able to design learning activities and project courses where students work on realistic challenges, often in collaboration with external partners. Experience
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career step. At HST, our values – Share. Care. Dare. – shape the way we collaborate, support one another and create knowledge with societal impact. Learn more about the department on our website and in
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candidate will join a dynamic and collaborative faculty dedicated to excellence in cross-cultural teaching and research. Your work tasks The IB Research Group seeks a highly motivated and collaborative