351 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" positions in Norway
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been recognised by the faculty as forming a sufficient basis for admission. To be employed as a PhD research fellow, admission to the doctoral program is required. Normally, one must apply for admission
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oppdatert 09.02.2026 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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oppdatert 09.02.2026 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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research training to the level of a doctoral degree. Admission to the PhD programme is a prerequisite for employment, and the programme period starts on commencement of the position. The workplace is at UiT
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Ecology, Agricultural Sciences and Biotechnology. The position will run for 3 years, planned start in August 2026. The candidate will be enrolled in INN’s PhD program in Applied Ecology and Biotechnology
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PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion
UiO/Anders Lien 5th April 2026 Languages English English English PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion Apply for this job See
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the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Oslo Business School
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of the following: Higher category theory, stable homotopy theory, simplicial methods. An interest in computer algebra and programming. Relevant research experience (for instance in form of a Master’s thesis in
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oppdatert 09.02.2026 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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, candidates are expected to have a strong background in statistics and computational methods. The position will be devoted to solve research questions related to the Work Package with title: “Quantifying Risk