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- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
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- Delft University of Technology (TU Delft); yesterday published
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- Delft University of Technology (TU Delft); 26 Sep ’25 published
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. The faculty provides education to 6,000 students and employs 700 staff. Education is organised into six programme clusters: Psychology; Artificial Intelligence; Pedagogical Sciences and Educational Sciences
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rounds of screening for 84,000 women and will leverage new knowledge that has been generated in a prior laboratory-setting project. Specifically, we will integrate recent advances in artificial
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-driven and use-inspired fundamental research in Computer Science. The main research themes are Artificial Intelligence, Computational Science and Systems and Network Engineering. Our research involves
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. Knowledge of BESS thermal management design. Experience with artificial intelligence applications. TU Delft (Delft University of Technology) Delft University of Technology is built on strong foundations. As
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are Artificial Intelligence, Computational Science and Systems and Network Engineering. Our research involves complex information systems at large, with a focus on collaborative, data driven, computational and
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, potentially in combination with artificial intelligence and high-performance computing (HPC) technologies. In particular, you will apply (hybrid) quantum computing solutions to EO use cases for which current
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Campus Greenport Venlo, we are looking for two enthusiastic postdoctoral researchers to expand and strengthen research on “Personalised healthy diets through data sciences and artificial intelligence
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on “Personalised healthy diets through data sciences and artificial intelligence”. Are you excited about the opportunities that data science in nutrition—especially the role of targeted metabolic modelling, machine
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, artificial intelligence, computer science, or related field. strong enthusiasm for these fields, specifically with enthusiasm for drones excellent research and analytical skills, including experience with
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laboratory-setting project. Specifically, we will integrate recent advances in artificial intelligence-based automated interpretation of medical images, and new knowledge on the human visual system