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-erklæringen var sist oppdatert 26.07.2025 Hva er en cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde
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create managerial insights and guidelines for practitioners collaboration with the Norwegian companies Ulstein, Brunvoll, and Aker Solutions take part in the mandatory PhD research education program
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to the Faculty's Doctoral Programme . You must have English language skills, both written and spoken, corresponding to the scale B2 in the Common European Framework of Reference for Languages (CEFR). Applicants who
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considered if you can document that you are particularly suitable for a PhD education You must meet the requirements for admission to the faculty's Doctoral Programme Excellent communication skills in English
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statistical analysis. You must meet the requirements for admission to the faculty's Doctoral Programme in Social Science . Good oral and written presentation skills in English. The appointment is to be made in
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well as candidates with a background in machine learning methods. The PhD programme will straddle the boundaries between the field of wave modelling and the general field of machine learning, and we will set up a team
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the interface between different scientific disciplines including ecology, evolutionary biology, mathematics and statistics, informatics, economics and social sciences. We aim to apply advanced statistical and
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, NTNU. This PhD position is financed via the European Research Council’s Advanced Grant Program. The candidate needs to fulfill the requirements of NTNU for obtaining a PhD. The appointment has a duration
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international conferences and scientific articles. Take part in the Electronic and Telecommunications PhD program and fulfill the requirements for a PhD degree. Be prepared for changes to your work duties after
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background, you may be considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the PhD Program in Social Sciences - Specialization