74 computer-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions in Norway
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PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High Velocity Impact
to join SIMLab at the Department of Structural Engineering, NTNU, in the field of computational mechanics, experimental mechanics, and protective structures. The project focuses on developing next
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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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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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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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using a crystallographic approach. To be employed as a PhD Research Fellow, admission to the Medical Faculty's PhD program is required, or there must be a binding agreement for admission. Normally, one
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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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for a PhD education, i.e., by having relevant work experience and/or published/publishable scientific papers. You must meet the requirements for admission to the Faculty's Doctoral Programme . You must
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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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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