157 high-performance-computing-"https:"-"CIPMM---Systemic-Neurophysiology" "https:" positions in Netherlands
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Mathematics (Inverse Problems), Computer Science (Machine Learning, Computer Vision, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of
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Hours Per Week 36.0 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? No Offer Description
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an import element in the prediction of reactor-scale operational scenarios providing compatibility to both, required heat and particle exhaust constraints and good fusion plasma core performance. Given
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) Application Deadline 15 Mar 2026 - 22:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 36.0 Is the job funded through the EU Research Framework Programme? Not
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Deadline 18 Mar 2026 - 22:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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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 As an assistant professor in environmental economics, you will be a member
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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
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Mathematics (Inverse Problems), Computer Science (Machine learning, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of the NXTGen High-tech
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and increasing weather extremes that affect ecosystem functioning. The programme brings together interdisciplinary expertise spanning natural, social, and technical sciences. Within REAP2SOW, our work
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the Teratom project, led by the Technical University Eindhoven, and financed by National Growth Fund NXTGEN Hightech programme: Future-proof high-tech equipment. Qualifications A PhD degree in physics, physical