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Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description he University of Stavanger invites applicants for a PhD Fellowship
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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
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international activities such as conferences and/or research stays at foreign educational institutions. Undertake teaching and supervision of master students in the program in Urban Planning at Department
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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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requirements for admission to the PhD programme Experience implementing and modifying deep learning architectures. Working knowledge of Python and a modern deep learning framework. Strong programming skills in
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based on physics-informed neural networks and transfer learning. The PhD candidates will have the opportunity to be affiliated with the program BRU21 , with the IoT@NTNU, and with the Norwegian Open AI
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education. You must meet the requirements for admission to the faculty's Doctoral Programme in Engineering The appointment is to be made in accordance with NTNUs guidelines for recruitment positions
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the project Mentor programme as a new employee at NTNU Favorable terms as a member of the Norwegian Public Service Pension Fund (SPK) Free Norwegian language training at a basic level (A2) As a PhD research
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Deadline 4 Oct 2026 - 23:59 (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
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funded through the EU 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