67 programming-"https:"-"https:"-"https:"-"Data-driven-Materials-Modeling" PhD positions in Norway
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meet the requirements for admission to the faculty's doctoral programme in Engineering Cybernetics . Strong programming skills, in particular Python, and practical experience with modern machine learning
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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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environments. Be prepared for changes to your work duties after employment. Required selection criteria You must meet the requirements for admission to the IE faculty's Doctoral Programme, see Section 6-1
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
managerial insights and practical guidelines for practitioners. Take part in the mandatory PhD research education program Conduct independent research and publish the result in recognised scientific journals
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Critical Media Literacy” Complete the required coursework and other components of the PhD programme Conduct and disseminate research of high academic quality through publications, conference participation
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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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training: As a PhD research fellow, you will take part in the PhD programme at the Faculty of Social Sciences, UiB. The programme corresponds to a period of three years and leads to the PhD degree. To be
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datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er
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to the faculty's Doctoral Programme, see Section 6-1 of the PhD regulations for more information. PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application
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2050 brings together the full width of the Norwegian research community in a joint, interdisciplinary research program. Arctic Ocean 2050 will provide fundamental and applicable knowledge and skills