87 computer-science-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions in Norway
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research training. It is a condition that the person who accepts the position applies for and is granted admission to the faculty’s doctoral programme in PhD in Technology within three months of starting in
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addition of career promotion work for the right candidate. For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in Engineering Cybernetics within three months
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engineering, computer science, control engineering, chemistry, managerial economics with strong quantitative skills, or physics or mathematics with a specialization in operations research. Your course of study
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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 PhD programme in Medicine and Health Sciences 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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100% 3-year PhD fellowship in chromatin and computational biology is available in the project group of Dr. Julia Madsen-Østerbye, research group of Prof. Philippe Collas, at the Division of Biochemistry
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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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assignments 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
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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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intelligence, computer science, remote sensing, geomatics, data science, or a forest/environmental science discipline with a strong quantitative or AI component Strong knowledge of machine learning and deep