67 study-phd-engineering-"https:"-"CMU-Portugal-Program---FCT" PhD positions in Norway
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prerequisite that you gain admission to the PhD programme in Engineering (https://www.ntnu.edu/iv/doctoral-programme ) within three months of your employment contract start date, and that you participate in
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of seven departments in the Faculty of Information Technology and Electrical Engineering . Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/293643/phd-candidate-in-ai-suppo
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particularly suitable for a PhD education. You must meet the requirements for admission to the NTNU Faculty of Social and Educational Studies' Doctoral Programme (https://www.ntnu.edu/su/phd ) Experience in
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aquaculture and feed industry partners. The PhD candidate will work closely with biologists, engineers, and industry stakeholders, both in Trondheim and at Tjeldbergodden. The PhD candidate will contribute
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remain before cultured meat can fully replicate the sensory and functional qualities of natural seafood. This PhD project is expected to develop technology for cultivated seafood by selecting the optimal
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from information security, maritime operations, data engineering, and data governance. The research will include structured review of relevant literature, exploratory studies with industry partners and
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. Required selection criteria You must have a relevant Master's degree in Chemical Engineering or equivalent focused on hydrometallurgy. Emphasis in hydrometallurgy is desired. Your course of study must
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obtained through studies in engineering cybernetics, robotics, control engineering, automation, electrical engineering, marine engineering, mechanical engineering, applied mathematics, or similar engineering
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24th February 2026 Languages English English English The Department of Energy and Process Engineering has a vacancy for a PhD Candidate in Experimental Fluid Mechanics - Combustion Instabilities
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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