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: MSc in materials science engineering. Backgrounds in chemistry, physics, computer science or a related area are also welcome. Good expertise or strong interest in numerical modeling, machine learning
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-on monitoring with cutting edge data-driven and physical based models, including the deployment of machine learning algorithms. The project aims to have a tangible impact on the way urban waters are monitored
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computational design. Good programming skills with experience in reduced-order modelling techniques and data-driven symbolic regression tools is a plus. TU Delft (Delft University of Technology) Delft University
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to protect AI models against data leakage during inter-departmental information sharing. With the National Police heavily relying on sensitive data exchanges, this research will develop secure machine learning
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4 Oct 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Design engineering Engineering » Materials engineering Psychological sciences
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, machine learning and behavioral modeling methodologies. In the FlexMobility project we propose a holistic approach to design a public transport network that includes both traditional fixed lines and
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simulation design. Curiosity-driven mindset with openness to interdisciplinary research across mobility, HCI, and urban planning. TU Delft (Delft University of Technology) Delft University of Technology is
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expert knowledge in a reusable format. Numerical Representation, Develop numerical representations of ship designs that are interpretable by machine learning algorithms and suitable for generative ai model
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26 Sep 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Physics » Biophysics Physics » Statistical physics Researcher Profile First Stage Researcher
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system/market modelling or other energy-related research. TU Delft (Delft University of Technology) Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch