113 professor-computer-science-"https:" "https:" "https:" "https:" positions at University of Oslo
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professors, researchers, postdocs, PhD fellows, engineers, admin, master and exchange students. The group will relocate to the new Life Science Building by mid 2026 which offers modern research facilities
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dedicated professors, researchers, postdocs, PhD Research Fellows, engineers, admin, master and exchange students. The group will relocate to the new Life Science Building by mid 2026 which offers modern
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an excellent opportunity for the candidate to conduct high-impact research facilitating pursual of further academic and/or commercial ambitions within plant sciences after project completion. The work will be
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department of Economics invites applicants for 1 position as Tenure-track Assistant
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Professors II. Read more about HUP section at: https://www.sv.uio.no/psi/english/about/organization/sections/hup/index.html Your main tasks will be: Work as part of an interdisciplinary research team with
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includes around two dozen PhD students, Post-Doctoral and Research Fellows, and Associate Professors II. Read more about HUP section at: https://www.sv.uio.no/psi/english/about/organization/sections/hup
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We invite applications for position as PhD Research Fellow in Machine Learning available at Department of Informatics, Faculty of Mathematics and Natural Sciences, University of Oslo. Starting date
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PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion
, applied mathematics, computational science, or a closely related field Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system Strong background
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2026 - 23:00 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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background in computer programming Strong background in relevant mathematical modelling Experience with interdisciplinary work A keen interest in natural history, nature conservation, science and society Grade