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Master's degree in physics, mathematics, biomedical engineering, computer science or equivalent. Your course of study must correspond to a five-year Norwegian course, where 120 credits have been obtained
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» Mechanical engineering Engineering » Industrial engineering Computer science » Cybernetics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Oct 2026 - 23:59 (Europe
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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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6 Sep 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department epartment of Computer Science Research Field Computer science Researcher Profile First
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UiO/Anders Lien 28th September 2026 Languages English English English PhD Candidate in advanced immune competent liver models Hybrid Technology Hub – Centre of Excellence (HTH CoE), Institute
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datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er
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datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er
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» Civil engineering Engineering » Mechanical engineering Technology » Marine technology Computer science » Cybernetics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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» Maritime engineering Engineering » Computer engineering Computer science Architecture » Naval architecture Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 23 Aug
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journals. IndEcol hosts its own International MSc program and contributes to NTNU’s engineering education. The research team consisting of eight faculty members, the Industrial Ecology Digital Laboratory