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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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for academic development through a PhD education leading to a doctoral degree. The hired candidate will be admitted to the PhD program in Arts and Education. The education includes relevant courses amounting
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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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program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en oversikt over besøkene dine på
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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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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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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