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on developing a mobile application that can assess and intervene in problematic social media use for adolescents with depression. You will lead the research and development of a mobile app and then collaborate
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Research Council (NWO), which investigates foundation models for high tech industry applications. Your results are expected to be published at leading international venues in machine learning, computer
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computational modelling to contribute to safer flood defences. Job description Internal erosion and piping are among the main failure mechanisms of clay–sand layered dikes and remain important challenges in flood
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challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context. At
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Join a cutting-edge research programme at TU Delft and investigate the mechanisms of hydrogen-induced degradation in circular steels. Job description Within this project, you will investigate one
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within the M2i framework Your work environment You will be part of Team Dey within the Computational Materials Science section at TU Delft. This team focuses on atomistic simulations to investigate
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fungal pathogenesis, epithelial cell biology, inhibitor screening, safety profiling and in vivo infection models to identify candidates with therapeutic potential. The researcher will perform mechanistic
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of disease biology, progression, and treatment response. The successful candidate will contribute to a broader translational research programme within the group and work closely with clinical and laboratory
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than 40 members (several with joint appointments with other colleges) pursuing use-inspired research in structures, urban coastal systems, urban transportation and mobility, construction management, air
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the Francis Crick Institute. This initiative brings together world-class experts in evolutionary genomics, stem cell biology, and computational science to unravel one of the most fascinating puzzles in