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Field
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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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-construct transformative, contextualized energy policies with citizens, policymakers, industry, scientists, and other stakeholders. NOTRAP is a cooperation between eight departments from four different NTNU
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This PhD programme is multidisciplinary and cross-disciplinary building on applied mathematics and physics, technology and engineering—and the interplay between these. The programme has an applied
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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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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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practices with special focus on sustainability and interdisciplinarity. Additionally, the programme offers five elective courses addressing different perspectives on sustainability: place-based, social
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In Norwegian institutions of higher education, there is no tradition for direct application and admission to PhD programs. Admission to a program is sought either after you have received funding
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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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different NTNU faculties, and will house eight PhD students to be recruited in 2025, in the fields of design, psychology, sociology, social anthropology, economics and political sciences. Within NOTRAP
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Physical Geography), Earth Sciences, Environmental Science, or equivalent. Your course of study must correspond to a five-year Norwegian program, where 120 credits have been obtained at master's level