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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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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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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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grade 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 a PhD Programme either at the Faculty
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meet the requirements for admission to the faculty's Doctoral Programme Excellent oral and written presentation skills in English (equivalent to level B2) Excellent reading skills in the languages
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This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will...
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weaker grade 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 faculty's Doctoral Programme
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meet the requirements for admission to the faculty of engineering's Doctoral Programme Good oral and written communication skills in English High level competency in GIS and Hydrology Field experience
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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 faculty's Doctoral Programme Excellent