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work in close collaboration with clinicians, AI researchers, statisticians, and industrial partners in a highly interdisciplinary consortium, translating large-scale cardiovascular data into clinically
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and transformer architectures to unsupervised learning and representation learning approaches. You will work in close collaboration with clinicians, AI researchers, statisticians, and industrial
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an ambitious research agenda and collaborate closely with the FIRM PhD candidates, Nationale‑Nederlanden and other partners. Designing and implementing a data collection protocol for flood damage observations in
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coarsely-resolved climate models. This fully-funded position is part of the European Research Council (ERC) 'ICE-FLOE' project, and will involve collaborations with other team members at TU Delft and
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of Behavioural and Movement Sciences. The lab conducts internationally recognized research on leadership, collaboration, and human behavior in organizations. In close partnership with public and private
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molecular dynamics simulations, in close collaboration with leading European research institutes and steel industry partners. Job description At TU Delft, you will contribute to a transformative research
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recently granted, and it will also involves a collaboration with Thorizon, a MSR startup company in the Netherlands. Job requirements We are looking for an outstanding candidate with a PhD degree in Nuclear
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to collaborate on a large interdisciplinary program to develop methods for deepening awareness and knowledge about ethical, legal, and social aspects (ELSA) of scientific developments? Within our team, you will
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-private collaborative research. We strive for a diverse and inclusive working environment where we are kind to the person, but though on the data. Please visit our website: www.inhibitoryreceptorlab.nl
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at the atomic scale, using density functional theory-accurate machine-learned potentials and molecular dynamics simulations, in close collaboration with leading European research institutes and steel industry