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passionate about statistical methodology and motivated by biomedical applications? Join our team on development of latent variable models for multi‑omics and longitudinal data and help advance data‑driven
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to shape how humans and AI interact in high-stakes contexts. You will help define how AI can support—not replace—human judgment, ensuring that technology empowers rather than undermines trust and autonomy
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-methods… Requirements Specific Requirements You are an enthusiastic researcher driven by curiosity and: Have an affinity with statistical or mathematical modeling, and (some) programming experience
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3 Apr 2026 Job Information Organisation/Company Utrecht University Research Field Computer science » Cybernetics Computer science » Programming Engineering » Computer engineering Engineering
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 2 months ago
technology Computer science » Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 6 Apr 2026 - 15:00 (Europe/Amsterdam) Country Netherlands Type
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17 Mar 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Modelling tools Geosciences » Geology Geosciences » Hydrology Researcher
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strong interest in systems and control, model predictive control, and energy systems. Some experience in basic software engineering and implementation of algorithms in real-world experiments or industrial
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@UT). The research combines manufacturing systems engineering, digital factory modelling, and sustainability assessment, and includes validation through industrial case studies and demonstrators. By
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intralogistics) workflows at the Fraunhofer Innovation Platform for Advanced Manufacturing (FIP-AM@UT). The research combines manufacturing systems engineering, digital factory modelling, and sustainability
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@UT). The research combines manufacturing systems engineering, digital factory modelling, and sustainability assessment, and includes validation through industrial case studies and demonstrators. By