416 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"Ulster-University" positions in Norway
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methods will be advantageous: Microbiological techniques, as well as computer-based analysis Molecular biology techniques Analysis of high-throughput datasets (DNA seq, microbiological data, competitive
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Regulations and the relevant PhD programme description . The applicant must document expertise and interest in the research subject. Required Academic qualifications Master’s degree in animal science or
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solid background in Biology, Computational Biology, or Bioinformatics. The successful candidate will work in close collaboration with an interdisciplinary team including bioinformaticians, embryologists
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participate in an approved educational programme for a PhD degree within 3 years. The deadline for applying for admission to the PhD programme at The Faculty of Mathematics and Natural Sciences is 2 months
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communication in innovation and science and technology studies (STS). A major part of TIK’s activity is externally funded research. TIK also offers postgraduate education; a PhD-programme and two Master
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to the PhD programme in Engineering within three months of your employment contract start date, and that you participate in an organized doctoral programme through out the period of employment. As an employee
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Doctoral Programme - PhD - Faculty of Engineering Science - NTNU You must have prominent skills in using GIS software (such as QGIS or ArcGIS Pro) and be comfortable working with large datasets. You must be
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oppdatert 24.03.2026 Hva er en cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller
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Agriculture Apply for this job See advertisement About the position The Department of Plant Science, Faculty of Biosciences at the Norwegian University of Life Sciences (NMBU), in collaboration with
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close collaboration with project partners from NTNU and SINTEF, and with leading Norwegian and international industrial partners in the aluminium value chain. The PhD candidate will use advanced