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the doctoral education. Research topic Technological change and digitalization are rapidly changing how health care services are provided and “consumed”. One important development is the recent emergence and
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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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to address societal challenges, understand the impact of AI, develop new technologies, and drive innovation across both the business and public sectors. This initiative is established and financed through
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scientists and software engineers. The team focuses on the following LISA deliverables agreed upon with the Norwegian Space Agency and ESA: Deliverable 1: Deployment and development of Norway’s computational
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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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at continuing to develop a world-class interdisciplinary research environment at the forefront of social science genomics. The project is now searching for three new postdoctoral fellows across three different
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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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. Building on recent work in music theory, rhythm cognition, and music information retrieval, the project will develop a novel, theoretical-analytical framework for the categorization of multi-part rhythmic