255 high-performance-computing-"Study-Group"-"Study-Group" PhD positions in Netherlands
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- University of Amsterdam (UvA); Published yesterday
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PhD Position in Explainable AI for High-Stake Decision Making Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application
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scientific coding skills in Python. You are strongly motivated to acquire advanced skills in Python and Fortran and in the use of high-performance computer systems you have affinity and preferably experience
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23 Jan 2026 Job Information Organisation/Company Utrecht University Research Field Computer science Philosophy » Ethics Researcher Profile First Stage Researcher (R1) Application Deadline 9 Mar 2026
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inputs to perform joint computations without revealing their individual data. This technology has far-reaching implications across industries, from healthcare to finance, empowering secure and privacy
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with broad musical coverage to deepen insights into musical style, perception and preferences. Your job The core aim of the project is to design explainable computational models that drive high-impact
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Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This is a unique opportunity to play a central role in the EU-funded MagHeat
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Plan programme, aimed as a flagship project for changing planning and scheduling in high mix low volume (HMLV) production by leveraging hybrid AI, data-driven workload estimation, intelligent release
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Vacancies PhD Position: Design and development of energy efficient and affordable magnetocaloric heat pump (MagHeat) Key takeaways This is a unique opportunity to play a central role in the EU
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collaboration with a leading high-tech semiconductor manufacturing company, demonstrating how edge devices can execute foundation models with guaranteed performance and minimal energy footprint—closing the gap