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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
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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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Maritime AI Centre activities. Take courses in relevant technical topics, comprising a minimum of 30 ECTS. Required selection criteria You must have a relevant Master's degree in computer science, artificial
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at foreign educational institutions Be prepared for changes to your work duties after employment. Required selection criteria You must meet the requirements for admission to the faculty's Doctoral Programme
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research project Arctic Ocean 2050 together with DNV and Nansen Environmental and Remote Sensing Center. The vision is to develop technology for deeper understanding of the Arctic Ocean as one
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degree in Computer Science, Artificial Intelligence, Software Engineering, Robotics, or a related field Strong experience in software development and excellent programming skills, preferably in Python
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for admission to the faculty's Doctoral Programme (link), see Section 6-1 of the PhD regulations for more information. Fluency in Norwegian or another Scandinavian language is required, as well as good oral and
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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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Computer science » Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Oct 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status
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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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education programme Carry out high quality research Develop material integrity predictive framework using different experimental and simulation approaches Participate in project meetings with supervisors and