233 Computer-Science "https:" "https:" "https:" "https:" "https:" positions in Norway
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of pharmaceutical sciences. Through cutting-edge research, extensive national and international collaborations, and an integrated five-year Master’s programme in Pharmacy, the Department is a leading contributor to
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8 Jul 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Electronic Systems Research Field Computer science Researcher Profile
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available1Company/InstituteNorwegian University of Life Sciences (NMBU)CountryNorwayCityÅsGeofield Contact Website http://www.universitypositions.eu STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp
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22 Jun 2026 Job Information Organisation/Company University of Bergen Department Department of Biomedicine Research Field Biological sciences Researcher Profile Established Researcher (R3) Positions
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requirements for admission to the faculty's Doctoral Programme in Social Science . Strong interest in interpretive and qualitative methodological approaches. Good written and oral skills in English. PLEASE NOTE
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» Civil engineering Engineering » Mechanical engineering Technology » Marine technology Computer science » Cybernetics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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30 Jun 2026 Job Information Organisation/Company UiT The Arctic University of Norway Department Department of Medical Biology Research Field Biological sciences » Other Medical sciences » Other
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studies towards a PhD-degree. The position is connected to the PhD program at the Faculty of Economics and Management, and the faculty will be your employer. Transport and logistics systems are becoming
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Educational Sciences. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/305549/postdoctoral-fellow-in-hy… Requirements Research FieldGeographyEducation LevelPhD or equivalent Additional
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methods. Knowledge of bioinformatics, DNA-sequence analysis or computational design tools. Experience with high-throughput experimental workflows, automation or design–build–test–learn cycles. Experience