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of physics, materials science, engineering, and computing. To apply, please contact the main supervisor, Dr William Griggs - [email protected] . Please include details of your current level of
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then be fed into process-level flowsheet models. The UK-National Nuclear Laboratory (UK-NNL) is supporting this project. In addition to acquiring training in computational modelling and theory
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to the PhD programme in Materials Science and Engineering (https://www.ntnu.edu/studies/phmt ) within three months of your employment contract start date, and that you participate in an organized doctoral
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and dispatching it during peaks, TES integration may enable a smaller fleet of reactors to meet equivalent industrial heat and electricity loads — directly reducing capital requirements, uranium
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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 EU programme Is the Job related to staff
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high-performance computing infrastructure Opportunities to publish in leading AI conferences and journals (CVPR, ICCV, AAAI, NeurIPS, and equivalent) Training in research commercialisation and technology
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Information Technology. Participate in international conferences. Publish results at international conferences and in peer-reviewed journals. Your qualifications: Excellent master’s degree in Electrical Engineering
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, Computational engineering or applied mathematics, Data science or Artificial intelligence. You must have a Master's degree in above listed areas or equivalent. Your course of study must correspond to a five-year
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enrolled as a PhD student at the Doctoral School of Engineering and Science in accordance with the regulations of Ministerial Order No. 1124 of September 19, 2025 on the PhD Programme at the Universities and
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administration as well as in the research and education sector. The Department of Mathematical Sciences is one of seven departments in the Faculty of Information Technology and Electrical Engineering . Apply