420 postdoc-computational-physics "Data driven Materials Modeling" PhD positions in Netherlands
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date) in computer science, artificial intelligence, data science, applied mathematics, physics, electrical engineering, or a related field. You have a solid background in machine learning; experience
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are being made with incomplete information. Synthetic data offers a way out: realistic-but-artificial datasets that preserve the statistical, temporal and physical structure of real energy data without
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) in computer science, artificial intelligence, data science, applied mathematics, physics, electrical engineering, or a related field. You have a solid background in machine learning; experience with
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29 Aug 2026 Job Information Organisation/Company ARCNL Research Field Engineering » Computer engineering Engineering » Precision engineering Physics » Computational physics Physics » Metrology
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physics, applied physics, nanoelectronics or comparable discipline at the time of taking on the position. Prior experience in solid-state quantum computing, including but not limited to spin
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You will develop the theory that connects quantum experiments with mechanical systems to questions in fundamental physics, establishing what such experiments can and cannot reveal about nature. Job
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candidate. Your research is part of the KM3NeT-programme . Join us! Nikhef is the national institute for subatomic physics in the Netherlands. At Nikhef, approximately 250 physicists and 80 technical staff
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research programme in Groningen. There are also scientific groups on Theory, Physics Data Processing and Detector R&D. Nikhef avails over excellently equipped technical departments in mechanics, electronics
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interconnects for next-generation AI compute clusters. Information The smart optical networks lab (SONL) at the Electro-Optics Communication (ECO) group at Eindhoven University of Technology is recruiting for a
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learning, Efficient Algorithms and High Performance Computing), and Physics (Image Formation Modelling). Your project is part of the DUAL-IMPACT project, which focuses on the development of new data-driven