374 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "P" Fellowship positions in Norway
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Research Framework Programme? Horizon Europe - ERC Reference Number 101166983 Is the Job related to staff position within a Research Infrastructure? No Offer Description This is NTNU NTNU is a broad-based
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position see https://www.visual-intelligence.no/about/open-positions . We expect that you will engage in collaborative research with other members of the centre and the research group. You will collaborate
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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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. The position is for a period of four years. The nominal length of the PhD programme is three years. The fourth year is distributed as 25 % each year and will consist of teaching and other duties. The objective
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to the successful completion of a PhD degree. For more information see: http://www.mn.uio.no/english/research/phd/ Integreat provides a researcher training programme, INTREF — the Integreat Young Researchers’ Forum
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' PhD programme at the University of Oslo (UiO). The fellows will be supervised by professors at the Departments of Social Anthropology and of Health and Society. The two dual degree candidates will also
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the National Insurance Scheme which also include health care services . More practical information for working and living in Norway can be found here: https://uit.no/staffmobility Application Please note that
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, multimodal or multimedia systems. Directly relevant areas are preferable Documented knowledge in machine learning methods, especially hands-on experience with time series data Documented hands-on programming
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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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four years in the Norwegian educational system. Experience within analysis of large data sets. Good skills in statistics and the application modern epidemiological methods. Good programming skills in R