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to your work duties after employment. Required selection criteria You must meet the requirements for admission to the faculty's Doctoral Programme in Engineering, see Section 6-1 of the PhD regulations
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. To be employed as a PhD Research Fellow, admission to a doctoral program is required, or there must be a binding agreement for admission. Read about admission to the Faculty's PhD program here: https
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are included. The PhD Research Fellow will be based in the academic unit Public Administration and Governance at Oslo Business School and will be enrolled in OsloMet's PhD programme in Social Sciences
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are included. The PhD Research Fellow will be based in the academic unit Public Administration and Governance at Oslo Business School and will be enrolled in OsloMet's PhD programme in Social Sciences
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on the master’s thesis, or the average grade of the qualifying degree, is normally required for admission to the PhD program at the faculty. Personal qualities will be emphasised. Ambition and potential will also
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conferences, workshops and discussions 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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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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to the faculty's Doctoral Programme (link), see Section 6-1 of the PhD regulations for more information. You must have a relevant Master's degree in Computer Science, Cyber Security, or an equivalent field. Your
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. 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 (https://www.ntnu.edu/studies/phiv) within three months of your
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decision-making, computational efficiency, generalization under changing market conditions, and safe constraint handling. The PhD candidate will develop and validate decision-support methods based on deep