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. The project is funded through NTNU and is an interdisciplinary project between the Industrial Ecology Programme at the Department of Energy and Process Engineering and the Department of Neuromedicine and
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of Social Sciences, UiB. The programme corresponds to a period of three years and leads to the PhD degree. To be eligible for admission you must normally have an educational background corresponding to a
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you gain admission to the PhD programme in Mathematical Sciences (https://www.ntnu.no/studier/phma ) within three months of your employment contract start date, and that you participate in an organized
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position will be part of the PhD program at the Business School (PhD in Social Sciences , specialization Business Administration, Innovation and Governance). The successful applicant is expected to complete
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, for the successful candidate, will be further developed in collaboration with the project group. Applicants must hold a relevant master’s degree in fields such as philosophy, science and technology studies, sociology
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the Department is part of a new bachelor's programme in Philosophy, Politics, and Economics (PPE). Research at the department is organized in research groups , and around research projects . The positions are open
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’ PhD program. The Master’s degree must be within a specialization of relevance to innovation studies and related fields (management and organizational studies; economics of innovation). The Master’s
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Doctoral programme: PhD in Engineering (Doctoral Programme) 3 years - Trondheim - NTNU A background in separation techniques, particularly flotation Experience or interest in flotation, surface chemistry, or
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. The employment period is 3 years. For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in Engineering (https://www.ntnu.edu/studies/phiv) within three months of your
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for a PhD education. You must meet the requirements for admission to the Faculty of Engineering Doctoral programme: PhD in Engineering (Doctoral Programme) 3 years - Trondheim - NTNU Strong analytical