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. For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in Materials Science and Engineering (https://www.ntnu.edu/studies/phmt) within three months of your employment
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the State Pension Fund is deducted from the salary. The employment period is 3 years. For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in Materials Science
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, Computer Science, Cybernetics, Physics, Mathematics, Statistics, Nautical Science, Maritime Technology, or a similar field with some sea-going experience and stronger software development experiences, and any other
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10 Nov 2025 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Physics Research Field Physics Researcher Profile First Stage Researcher
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31st December 2025 Languages English English English The Department of Biotechnology and Food Science has a vacancy for a PhD Candidate in Synthetic Biology and Metagenomics Apply for this job See
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partners are the Norwegian University of Science and Technology (NTNU), University of Oslo, Oslo School of Architecture and Design, Royal Norwegian Naval Academy, Norwegian Mapping Authority, MET and SINTEF
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technology Computer science » Cybernetics Physics Mathematics » Statistics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Norway Application Deadline 18 Jan 2026 - 23:59 (Europe/Oslo) Type
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description About the position The Department of Marine Technology at NTNU has a PhD position related to optimal
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requirements for admission to the faculty's Doctoral Programme . Good oral and written presentation skills in English Experience with experimental work within physics, nanotechnology or material science. Basic
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are nanoscale stable magnetic quasiparticles which move when a current is applied. This process requires very little electrical power, which makes skyrmion devices contenders for future low-power computation