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Computer science Physics » Computational physics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 18 Oct 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract
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work duties after employment. Required selection criteria You must have a relevant Master's degree in physics, mathematics, biomedical engineering, computer science or equivalent. Your course of study
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of Contract Temporary Job Status Full-time 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
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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 NTNU is a broad-based university with a
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
(Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
managerial insights and practical guidelines for practitioners. Take part in the mandatory PhD research education program Conduct independent research and publish the result in recognised scientific journals
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to recruit up to ten PhD students and one or two Post Docs to work in parallel across the core engineering challenges of maritime nuclear propulsion, creating an unusually dense and collaborative internal
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on ship design, naval control systems and in shipping management. Within the project we are aiming to recruit up to ten PhD students and one or two Post Docs to work in parallel across the core engineering
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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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engineering education. The research team consisting of eight faculty members, the Industrial Ecology Digital Laboratory, and about 70 researchers, Post Docs. and PhD students. More information can be found