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and memory systems. This effort is truly trans-disciplinary, drawing on biodesign/biotechnology, machine learning, and interaction design. This project builds on groundwork already underway in our group
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27 Sep 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Computer engineering Engineering » Electrical engineering Researcher Profile
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(particularly computer vision), (2) machine learning for data analysis, (3) sensor technologies (e.g., electromagnetic sensors), (4) design and integration of mechanical/electrical devices; and an interest in
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the reference in the nuclear industry, but the current fleet of reactors will reach in a few years the end of their operating licenses. Generation IV reactors, among which the Molten Salt Reactor (MSR
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depends on complex, interconnected systems such as sustainable power grids, autonomous vehicles and human-machine collaborative systems. Ensuring that these systems operate safely, efficiently and fairly is
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complexity into insight, while educating the next generation of data and AI experts at TU Delft. Job description The Computer Graphics and Visualization group at TU Delft has an opening for an Assistant
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together: the backbone defines the interfaces, and your models make it realistic. Where and with whom You will join the Intelligent Electrical Power Grids (IEPG) section and work alongside the UTOPYS
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last year, are at a similar stage of their research journey. The current group has a mixed BSc/MSc background, ranging from computer science to physics, electrical engineering and mathematics. Here
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across a range of application areas, including education and healthcare. As these systems are increasingly deployed in high-stakes environments, there is a growing need for machine learning models
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/aerodynamics for an overview of current activities and relevant scientific publications. It is the intention of the Aerodynamics group to further explore experimental techniques for aerodynamics, flight