54 computational-physics "https:" "https:" "https:" "https:" "University of Cambridge" Postdoctoral positions in Norway
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- University of Oslo
- UiT The Arctic University of Norway
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-erklæringen var sist oppdatert 23.02.2026 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
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requirements PhD or equivalent academic qualifications with a specialization in AI in areas relevant for the project (e.g., MIR, computational music analysis). The applicant is required to demonstrate how
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will do our best to accommodate your needs. Relevant adjustments may include modifications to working hours, task adaptations, digital, technical, or physical adjustments, or other practical measures
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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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is Bergen, and the work requires that you are physically present at the Department of Social Anthropology on a daily basis (excluding fieldwork). Desired qualifications A publication track record
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sciences for the programmes of professional study in medicine and the Master's programme in clinical nutrition. The Institute has more than 300 employees and is located in Domus Medica. Questions about the
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of applicants. The applicant will be notified if the request is not respected. As part of the recruitment process, a background check may be conducted with the candidate's consent. Enquiries may be directed
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, the quality of the PhD dissertation and publications, the applicant’s personal prerequisites and motivation to carry out the project and teach at the department. The hiring process will include an interview
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-erklæringen var sist oppdatert 28.12.2025 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
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will unite ecology, statistics, and philosophy to improve the modeling and governance of biodiversity under uncertainty. The project develops process-explicit, hierarchical models that capture key