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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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than one fixed term period at the same institution. Place of work is Bergen, Norway. About the PhD programme: As a PhD Candidate, you must participate in an approved educational programme for a PhD degree
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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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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
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are recruitment positions intended to lead to a PhD degree at The Faculty of Law. Applicants must be qualified for admission to the PhD programme at the Faculty of Law. Read more about the Doctoral Degree here
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student at NIH. Employment as a PhD fellowship will be conditional on successful enrolment in the PhD program. Job description Your main tasks as a PhD fellow at NIH are to: Complete an independent research
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. Applicants must be qualified for admission to the PhD programme at the Faculty of Law. Read more about the Doctoral Degree here . Qualification requirements The position requires a Norwegian five-year master's
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3,750 students and 455 employees. The PhD specialisation NHH is pleased to announce vacancies at the Department of Business and Management Science. Candidates admitted to the PhD programme will receive
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of Nutrition, UiO with the possibility of spending part of the time at The University of Gothenburg. The research fellow must take part in the faculty’s approved PhD program and is expected to complete
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immediate leader will be associate Professor Victorien Prot. About the project This PhD position aims to increase our understanding of the mechanics of heart valve diseases using cutting-edge computational