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sustainable future. TU Delft (Delft University of Technology) Working at TU Delft means contributing to solutions that really make a difference. For over 180 years, we have been training engineers who make
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completed) in Natural Language Processing or a closely related area. Solid knowledge of machine learning, especially deep learning. Experience in model development and/or fine-tuning. A practical mindset
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(MMB) studies microorganisms and biogeochemical processes across marine environments and timescales, from estuaries to the deep ocean and from past to present. Using fieldwork, lab experiments, and
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, data analysis and programming, preferably in Python you have knowledge of climate adaptation, infrastructure resilience, decision making under (deep) uncertainty or cost benefit analysis you have
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towards deep, large-scale analyses of STM evolution and action. The focus will lie on a range of arthropods, molluscs, and chordates, with the aim to uncover universal STM design principles as
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, uncertainty-aware parameter estimation, surrogate modeling, and reduced-order modeling where relevant. The scientific emphasis is mechanics-first: we are looking for someone with strong foundations in nonlinear
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intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and in the future. At TU Delft, our people make the difference. With their knowledge
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you passionate about shaping the future of healthcare? Do you
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you passionate about shaping the future of healthcare? Do you
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-lab, whose mission is to accelerate the future of Earth Observation via transformative innovation and commercialisation actions strengthening ESA Member States’ world-leading competitiveness. Our vision