421 systems-science "https:" "https:" "https:" "https:" "Univ" Fellowship positions in Norway
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26 Feb 2026 Job Information Organisation/Company University of Bergen Department Department of Biological Sciences Research Field Biological sciences Researcher Profile First Stage Researcher (R1
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9 Jan 2026 Job Information Organisation/Company University of Oslo Research Field Criminology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Norway Application
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at the Department of Geosciences, University of Oslo. Starting date as soon as possible. The fellowship period is three years. A fourth year maybe considered and it will involve 25 percent of other career-promoting
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of the fellowship is research training leading to the successful completion of a PhD degree. For more information see: http://www.mn.uio.no/english/research/phd/ All candidates and projects will have to undergo a
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position We invite applications for position as PhD Research Fellow in Multisensory Networked Interactions with Robotics Avatars available at Department of Informatics. The fellowship period is three years
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of Informatics. The fellowship period is three years. Depending on the candidate and the teaching needs of the department, the fellowship period can be extended either for compulsory work consisting of e.g
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for this job See advertisement About the position Position as PhD Research Fellow in Natural Language Processing available at the Department of Informatics. The fellowship period is three years. Depending
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Apply for this job See advertisement About the position Position as PhD Research Fellow in Identity and Access Management available at Department of Informatics. The fellowship period is three years
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for this job See advertisement About the position Position as PhD Research Fellow in Neuromorphic Microelectronics available at Department of Informatics. The fellowship period is three years. Depending
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University of Oslo. Place of work is Department of informatics at Blindern, Oslo. Job description You are keen on contributing to new advances in deep learning methodology for imaging for monitoring marine