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6 Sep 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Design Research Field Technology Researcher Profile Recognised Researcher
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above Academic publications and popular science dissemination Participate in the research group Critical Infrastructure Security and Resilience (https://www.ntnu.edu/iik/cisar ) Participate in
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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 programme
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Halvor Mykleby/INN 5th October 2026 Languages English English English Join INN University for a PhD in Forest Sciences PhD Position in Forest Sciences Apply for this job See advertisement About the
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to your work duties after employment. Required selection criteria You must have a relevant Master's degree in mathematical sciences or equivalent, in particular computational mathematics, numerical analysis
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-jobs/job/305184/phd-research-fellow-in-computer-science-ai-for-energy-informatics Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/305184/phd-research-fellow-in-co… Requirements
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to the IE faculty's Doctoral Programme (https://www.ntnu.edu/ie/research/phd/), see Section 6-1 of the PhD regulations for more information. You must have a relevant Master's degree in Computer Science and
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
. 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 Engineering within three months of your employment contract start date
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Doctoral Programme Engineering You must have high proficiency in both written and oral English We can not accept applications of citizens from countries on the OFAC and EAR lists and countries under US arms
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Department of Computer Science and Computational Engineering, and the Department of Geosciences. Research infrastructure is provided via existing data, sensor networks, and established field sites along