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Field
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of programming Carrying out Experimental testing Be prepared for changes to your work duties after employment. Required selection criteria You must have an academically relevant background within Structural
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practical experience in data science applied to medical or population genomics or other omic demonstrate experience in analyzing large omic data be proficient in one programming language be able to work
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applied to medical or population genomics or other omic demonstrate experience in analyzing large omic data be proficient in one programming language be able to work independently and in a structured manner
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promising research recruits the opportunity for professional development through studies towards a PhD-degree. The position is connected to the PhD program at the Faculty of Economics and Management and the
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submit NOKUT approval of their master’s degree The grades at the qualifying MSc examination needs to be B or better (ECTS scale from A-E) to be admitted to the PhD program. See admission requirements: PhD
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NMBU is at the same time an application for admission to a PhD programme at the institution. The documentation that is necessary to ensure that the admission requirements are met must be uploaded as an
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for admission to a PhD programme at the institution. The documentation that is necessary to ensure that the admission requirements are met must be uploaded as an attachment. Main tasks Conduct field research in
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progress both internally and externally. Publish the results in recognised scientific journals. Take part in the mandatory PhD research education program. The candidate is further expected to: Participate
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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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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