8 electrical-machines "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" Postdoctoral positions at Delft University of Technology (TU Delft)
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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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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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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
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economy. As a postdoctoral researcher, you will unravel how silicon suppresses liquid copper infiltration at the atomic scale, using density functional theory-accurate machine-learned potentials and
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: Validate the current markerless motion capture system against marker-based data in stroke patients Generate biomechanically accurate synthetic video data to expand training data and enable controlled
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Engineering TU Delft seeks a motivated postdoctoral researcher for a full-time, fully funded, 30-month project on Functional Electrical Stimulation (FES) shorts to improve gait after stroke. You will work