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system performance, the accurate simulation of production temperature and subsurface processes will be one of your key tasks. You will be hosted by the Water Resources and Geo-Engineering Sections in
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of ML in engineering is still in its infancy. Many areas of engineering that could leverage on ML include (meta)material characterization and design, computational structural design, and symbolic
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Do you posess expertise in statistical methods and techniques, sociology, mathematics, or the social sciences, coupled with a keen interest in digital technologies and human rights? The Faculty
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PhD and MSc researchers, and/or acquiring independent grants as the lead-PI. TU Delft’s Department of Materials Science and Engineering will be your home base. Known for its pioneering research
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. The position offers a lot of freedom to, depending on your interest, focus more on the modelling or engineering aspects of increasing the performance, efficiency and reliability of a fleet of autonomous ships
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on experimental work, although knowledge of ANN and/or CFD modeling is considered to be positive in the evaluation. A PhD degree in Chemical engineering, Mechanical engineering, Applied physics, Aerospace
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This PD position offers a unique opportunity to apply fundamental research from the fields of data science and sensor fusion towards an innovative maritime application. Within the dTHOR (digital
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at the Faculty of Computer Science at TUDelft. The research focuses on three main phases: Data Collection: Collaborate with architects to collect and curate diverse building data. NeRF Pipeline Development
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research group. The group belongs to the Intelligent Electrical Power Grids (IEPG) Section of the Electrical Sustainable Energy (ESE) Department, which is part of the Electrical Engineering, Mathematics,and
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. The ideal candidate does not exist, and no one is perfect. Ph.D. degree (awarded or close to completion) in Robotics, Control Theory, Computer Science, Applied Mathematics, or a closely related field