128 assistant-professor-computer-science-"https:" "https:" "https:" positions in Norway
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- UiT The Arctic University of Norway
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3 Mar 2026 Job Information Organisation/Company UiT The Arctic University of Norway Department Department of Technology and Safety Research Field Technology » Information technology Computer science
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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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appoint you to this position. Admission to the PhD programme For employment in the PhD position, you must be qualified for admission to the PhD programme at the Faculty of Health Sciences and participate
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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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closely work with Engineering geology and rock mechanics research group and RenewHydro Project team and will report to Professor Krishna Kanta Panthi who will supervise the PhD fellow. Are you motivated
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» Industrial engineering Technology » Information technology Computer science » Programming Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 22 Mar 2026 - 23:59 (Europe
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disease prognosis. This position offers a unique opportunity to work at the forefront of optical imaging technology, combining experimental optics with advanced computational and data-driven methods. Roles
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to the PhD programme For employment in the PhD position, you must be qualified for admission to the PhD programme at the Faculty of Humanities, Social Sciences and Education Operations and participate in
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requirements Required qualification Applicants must hold a degree corresponding to a Norwegian doctoral degree in biostatistics, statistics, machine learning, mathematics, data science, computer science
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regulatory regions of heat stress memory genes, and the candidate will apply both wet lab molecular biology, genome editing, trait phenotyping, imaging/microscopy, and computational methods to meet this aim