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to the research group Harvest at the Norwegian College of Fishery Science (NCFS). The position is for a period of four years. The nominal length of the PhD programme is three years. The fourth year is distributed
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qualified for admission to the PhD programme at the Faculty of Biosciences, Fisheries and Economics and participate in organized doctoral studies within the employment period. Admission normally requires: A
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Hellren Hansen, Ingun A.Mæhlum Qualifications This position requires: A master’s degree or equivalent in a relevant discipline (e.g. physics, geosciences, computer science, mathematics/statistics, geodesy
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(or equivalent qualifications) and meet the formal requirements for admittance to the Faculty of Social Sciences’ PhD program. The Master’s degree must be of high quality (grade A or B) and within a specialization
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Engineering, or Mechatronics Your education must correspond to a five-year Norwegian degree program, where 120 credits are obtained at master's level You must have a strong academic background from your
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promotion work may be considered depending on the qualifications of the candidate). For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in Engineering within
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obtained an MSc or similar in data science, computer science, physics, applied mathematics, oceanography, meteorology, or a similar field. The applicant must satisfy the requirements for admission to the PhD
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cookie and refresh page to watch video, or click here to open video) About the position Are you passionate about natural or cultural history, and science? Do you want to contribute to sustainable
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in the PhD position, you must be qualified for admission to the PhD programme at the Faculty of Health Sciences and participate in organized doctoral studies within the employment period. Admission
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will include an interview. Applicants must hold a two-year Master’s degree (or equivalent qualifications) and meet the formal requirements for admittance to the Faculty of Social Sciences’ PhD program