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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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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
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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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and value creation in industry by developing better methods and smarter tools to do more with less—and faster. SFI-CELECT runs from 2026 to 2033 and is Norway’s most ambitious long-term research
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understanding how men could fare better in the modern world. Within the project, the successful candidate will be able to develop a research agenda focusing on health effects of men’s participation in the family
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loading histories in Francis turbine runners, including start–stop cycles, rapid load changes, dwell periods and mixed high–low stress sequences. Such loading conditions influence fatigue damage development
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is to increase the understanding of longlines with seaweed under sea loads and develop accountable hydrodynamic load models. Your supervisor will be Professor Pål Lader and your line manager will be
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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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context of sustainable aviation fuel production. Within this framework, the project aims to develop heterogeneous catalysts capable of operating reliably under dynamic, non‑ideal feed mixtures that arise
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