359 development-"https:"-"https:"-"https:"-"Institut-Agro-Rennes-Angers" 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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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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good collaboration skills and demonstrate the ability, willingness, and commitment to contribute to the development of the research field. Applicant should be able to take initiative and actively
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within the research project SenseWood – Digitalisation of wooden building skins for a predictable performance. SenseWood, funded by The Research Council of Norway, aims to develop a new digital technology
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treatments and patient survival, treatment resistance inevitably develops, and multiple myeloma remains incurable. Novel approaches to provide an accurate prognosis, guide treatment choices and develop new
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preserve, access and develop knowledge over time with the support of automated reasoning. Different KRLs and tools were developed that make it possible to build semantic representations that can simplify
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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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strong emphasis on methodological rigor, interdisciplinary collaboration, and societal relevance. Postdoctoral fellows at the Department receive mentorship and are encouraged to develop strong
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, or click here to open video) About the position As a PhD Candidate, you will complete a doctoral education and obtain the doctoral degree. The position involves the development of advanced electronic
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inventories and provision of environmental information. Similarly, the developments in AI and machine learning allow for new and improved processing of remotely sensed data supporting precision forestry