130 assistant-professor-computer-science-"https:"-"https:"-"https:"-"https:" Fellowship positions at University of Oslo
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of Social Sciences, and has 75 permanent and 70 temporary members of scientific staff. Degrees are offered at bachelor and master level, plus a clinical training programme, and the PhD programme has 140
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et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en oversikt over besøkene
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). The fellow will be responsible for his or her own research and work closely with Professor Sveinung Sandberg at the Department of Criminology and Sociology of Law. The project started in 2026 and there will 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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requirements Applicants must hold a degree equivalent to a Norwegian doctoral degree in one of the social and behavioral sciences, statistics, or computer science evaluating and/or developing advanced
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that cause illness, and promote good health. The Institute is responsible for teaching in basic medical sciences for the programmes of professional study in medicine and the Master's programme in clinical
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for large-scale, longitudinal, and federated datasets – bridging computational innovation, biology, and clinical applications. More about the position The Centre for Precision Psychiatry is dedicated
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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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participation in the Faculty of Social Sciences' organised research education programme (PhD programme) and the completion of a doctorate in sociology. The candidate who is hired will automatically be admitted
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motivated Postdoctoral Fellow with strong expertise in RNA-seq and multi-omics data analysis. Candidates should be proficient in Python and/or R and have a solid background in Biology, Computational Biology