204 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" positions in Norway
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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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/InstituteResearch Centre for Responsible Media Technology & InnovationCountryNorwayGeofield Contact City Bergen Website https://www.uib.no/en/charterandcode Street Muséplassen 2 STATUS: EXPIRED X (formerly Twitter
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1st March 2026 Languages English Norsk Bokmål English English Would you like to explore how technology can transform the way we create and experience audiovisual stories? We now have two vacant
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gain admission to the PhD programme in (https://www.ntnu.edu/studies/phkjpros) within three months of your employment contract start date, and that you participate in an organized doctoral programme
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3 years. For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in engineering within three months of your employment contract start date, and that you
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, you may still apply. The successful applicant must fulfil the requirements for admission to the faculty’s PhD programme in engineering science, cf. Regulation for the degree of Philosophiae Doctor (PhD
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Established Researcher (R3) Country Norway Application Deadline 1 Dec 2025 - 22:59 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded
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the position. It is a condition that the candidate satisfies the enrolment requirements for the PhD programme at the University of Bergen: https://www.uib.no/en/nt/53972/doctoral-education-phd-faculty-science
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at the Department of Informatics and will be member of the Computational Biology Unit (https://cbu.w.uib.no/). The Computational Biology Unit (CBU) works at the intersection of computer and life science. Its primary
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clinical endocrinology, AI, data science, engineering, ethics and law into an integrated field of digital endocrinology. The programme focuses on adrenal disorders as a case study for advancing digital