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Field
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identification and machine learning. The key challenge is striking a balance between, on the one hand, modelling the physical, dynamic and nonlinear behavior of the components with sufficient physical accuracy
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16 Sep 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Cybernetics Computer science » Programming Researcher Profile First Stage
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with Eurandom in Eindhoven. KdVI counts about 40 staff members and 50 postdocs and PhD students. Want to know more about our organisation? Read more about working at the University of Amsterdam. https
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including liver damage, cancer, and fertility issues. With increasing EU regulations and scrutiny in land development, our goal is to develop advanced, reliable MIP-based sensors for rapid PFAS identification
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-of-the-art in AI and apply it to real-world software problems at our industrial partners: ASML and DCODIS (a start-up). This is technically challenging applied research with as main outcome a proof-of-concept
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28 Sep 2025 Job Information Organisation/Company Maastricht University (UM) Research Field Medical sciences » Medicine Researcher Profile First Stage Researcher (R1) Country Netherlands Application
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using innovative laboratory methods, development of pathophysiology-based treatment plans, identification of biomarkers and haemostatic modifiers with multi-omics approaches, an AI-driven bleeding
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16 Sep 2025 Job Information Organisation/Company Erasmus University Rotterdam (EUR) Research Field Architecture » Design Environmental science » Global change Sociology » Socio-economic research
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new electrochemical MIP-based detection system and its associated hardware. This project addresses the growing need for efficient PFAS detection, as these persistent "forever chemicals" are linked
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of Civil Engineering & Geosciences. Our diverse team of PhDs, postdocs, project managers and professors all share the ambition to develop smart, sustainable, and equitable mobility systems. Our unique 12