36 cloud-computing-"https:" "https:" "https:" "https:" "https:" scholarships at University of Oslo in Norway
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after the start of the research project leading to the Ph.D. degree. Read about admission to the Faculty's PhD program here: https://www.sv.uio.no/english/research/phd/application/phd-fellowship
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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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includes around two dozen PhD students, Post-Doctoral and Research Fellows, and Associate Professors II. Read more about HUP section at: https://www.sv.uio.no/psi/english/about/organization/sections/hup
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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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-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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find more information about the research group here: https://www.med.uio.no/klinmed/forskning/grupper/kardiovaskular-crg/ The PhD candidate will be funded by the K. G. Jebsen Centre for Cardiac
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-erklæringen var sist oppdatert 04.01.2026 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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approved PhD program. The successful candidates are expected to start on 1st September 2026. Qualification requirements and personal skills Applicants must hold a Bachelor’s and a Master’s degree or
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rigorous academic training with real-world policy engagement. More about the position About the Programme HEPARD is an interdisciplinary doctoral training network that equips early-career researchers with
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that combines rigorous academic training with real-world policy engagement. More about the position About the Programme HEPARD is an interdisciplinary doctoral training network that equips early-career