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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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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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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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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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. Addressing housing-related health risks in the USA, Vietnam, Turkey, and Ecuador, the project integrates community engagement, data science, and computational modeling. The key objectives of ComDisp
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computational modeling. The key objectives of ComDisp are: • Identifying and understanding housing, air quality, and respiratory health issues in each case study. • Linking climate change models to housing
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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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to the faculty's Doctoral Programme (https://www.ntnu.edu/studies/phkjpros) All applicants must be able to communicate fluently in English (in speaking and writing
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