374 coding-"https:" "https:" "https:" "https:" "https:" "https:" "Dr" "Washington University in St" positions at University of Oslo
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skills in written and oral English are a prerequisite. English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd
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outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Desirable experience (in ranked order): • Research in
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, Conservation and HistoryCountryNorwayGeofield Contact City Oslo Website https://www.hf.uio.no/iakh/english/ Street PO box 1072 Blindern Postal Code NO-0316 E-Mail n.l.w.streeton@iakh.uio.no eirinn.larsen
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between sources and attitudes in Denmark, Sweden and Norway. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/293063/doctoral-research-fellowship-sko-1017-in-heritage
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City Oslo Website https://www.sv.uio.no/psi/english/index.html Street PO box 1072 Blindern Postal Code NO-0316 E-Mail c.k.tamnes@psykologi.uio.no STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn
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the project lead if you have further questions about the project. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/293031/postdoctoral-research-fellow-in-studying-the-role
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SocietyCountryNorwayGeofield Contact City Oslo Website https://www.med.uio.no/helsam/english/ Street PO box 1072 Blindern Postal Code NO-0316 E-Mail a.k.lie@medisin.uio.no STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn
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available1Company/InstituteInstitute of Basic Medical SciencesCountryNorwayGeofield Contact City Oslo Website https://www.med.uio.no/imb/english/ Street PO box 1072 Blindern Postal Code NO-0316 E-Mail
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Value conflicts and tensions in the life sciences and its different epistemic cultures and evaluative principles and practices. For more information and how to apply: https://www.jobbnorge.no/en/available
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learning applications. The PhD position will be embedded in the SCML research group and contribute to its ongoing interdisciplinary work at the intersection of machine learning and life sciences. Dr. Milena