132 computational-physics "https:" "https:" "https:" "https:" "University of Kent" PhD positions in Norway
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Application Deadline 20 Feb 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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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 This is NTNU NTNU is a broad-based
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30 Jan 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of ICT and Natural Sciences Research Field Computer science Researcher
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maybe considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme (https://www.ntnu.edu/nv/phd
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considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the Doctoral programme at the Department of Physics . The candidate must
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endocrinology, AI, data science, engineering, ethics and law into an integrated field of digital endocrinology. The programme focuses on adrenal disorders as a case study for advancing digital health in Europe
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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 NTNU - knowledge for a
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26 Jan 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of ICT and Natural Sciences Research Field Computer science Researcher
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Positions Application Deadline 4 Feb 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Is the job funded through the EU Research Framework Programme
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computational physics and/or geosciences and a strong interest in machine learning, Earth observation, and numerical modelling for Arctic prediction. The PhD project will develop methods to improve monitoring and