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candidate(s) will be part of the Faculty’s PhD programme. The work is expected to lead to a PhD in political science. To promote a strategic career path, all PhD fellows are expected to submit a career
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of Contract Temporary Job Status Full-time Hours Per Week 37,5 Offer Starting Date 1 Apr 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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programme. The work is expected to lead to a PhD in political science. To promote a strategic career path, all PhD fellows are expected to submit a career development plan, specifying career goals and the
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and dynamic reservoir modelling, and flow simulation. The candidate will work in a team of geologists, geophysicists, geochemists and staff with strong machine learning and numerical modelling
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development in close exchange and collaboration with local industry partners in the south of Norway. Responsibilities The research fellow will work on developing methods to assess and improve the fast-charging
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of the candidate’s academic career (based on the length of the PhD program, the number of years since PhD, and career breaks). Personal suitability, motivation, and compatibility with the rest of the project team
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An exciting postdoctoral position in method development for spatio-temporal medical data is available in the UiT Machine Learning Group at the Department of Physics and Technology . The positions aim is to
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18 Sep 2025 Job Information Organisation/Company UiT The Arctic University of Norway Department Department of Physics and Technology Research Field Computer science Mathematics Engineering
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37,5 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 This is NTNU
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Deadline 14 Jan 2026 - 23:00 (Europe/Oslo) Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is