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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
gain admission to the PhD programme in Engineering within three months of your employment contract start date, and that you participate in an organized doctoral programme through out the period of
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completed a PhD in engineering or computer science, or an equivalent foreign doctoral degree recognised as comparable to a Norwegian PhD. Competence in developing and applying machine learning methods Good
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and Sustainability (CREDS ), part of Inland School of Business and Social Sciences, University of Inland Norway (INN), invites candidates to apply for a three-year PhD research fellowship. The position
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available at IFI (Informatics Department) / PT (Programming Technology). The fellowship period is three years. Depending on the candidate and the teaching needs of the department, the fellowship period can be
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within three months of your employment contract start date, and that you participate in an organized doctoral programme through out the period of employment. As an employee at NTNU, it is important that
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Position as PhD Research Fellow in Identity and Access Management available at Department of Informatics. The fellowship period is three years. Depending on the candidate and the teaching needs
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Qualifications and personal qualities: You must: Hold a relevant master's degree in any of the following disciplinary fields: social sciences, education, science and technology studies (STS), philosophy or other
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relevant Master's degree in mathematical sciences or equivalent, in particular computational mathematics, numerical analysis and experience with AI tools. Your course of study must correspond to a five-year
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. The project is funded through NTNU and is an interdisciplinary project between the Industrial Ecology Programme at the Department of Energy and Process Engineering and the Department of Neuromedicine and
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. Admission to the PhD programme For employment in the PhD position, you must be qualified for admission to the PhD programme at the Faculty of Biosciences, Fisheries and Economics and participate in organized