77 computer-science-intern "https:" "https:" "https:" "https:" Fellowship research jobs at University of Oslo
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at the forefront of modern science A friendly, inclusive, and collaborative international working environment at Integreat that values diverse perspectives Access to a strong network of top-level national and
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9 Jan 2026 Job Information Organisation/Company University of Oslo Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country Norway
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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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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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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
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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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the University of Oslo, and the Center for integrative neuroplasticity (CINPLA), an interdisciplinary research group spanning physics, neuroscience and computational science. Interdisciplinary competence is needed
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to maintain high international standards within both research and teaching. The new bachelor program in bioscience is the first of its kind to include programming and computational modelling as core elements
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Deadline 13 Feb 2026 - 23:00 (Europe/Oslo) 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 Is
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international partners worldwide. SMN is an interdisciplinary center spanning physics and chemistry and plays a central role in the Faculty of Mathematics and Natural Sciences’ activities in materials science