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. The position is part of our well-established research activities on physical and biogeochemical processes in the Arctic and Southern Oceans. It is funded by the Norwegian Research Council through the iC3
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working environment. We believe that inclusion and diversity are a strength, and we want employees with different competencies, professional experience, life experience and perspectives. If you have a
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are a strength, and we want employees with different competencies, professional experience, life experience and perspectives. If you have a disability, a gap in your CV or immigrant background, we
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for the transition of distribution grids. Quantify the importance of hydropower production and its interoperability in managing security of supply and grid stability. Explore the interplay between different aspects
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understand the process that may later lead to societal benefits. We will analyse data from annual reports, project descriptions, and interviews to explore how different approaches to funding, collaboration
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obtaining and using data, how should individuals’ interests be balanced against this? How do concepts such as privacy, autonomy and bias apply in different AI contexts? Whose knowledge, and whose values feed
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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
artificial intelligence(AI) on product process and environmental innovation 2) sustainable finance 3) twin transition. Depending on the department`s needs, and the candidate`s competence and preferences
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and aquaculture. The PhD project associated with the PhD position aims to understand the degradation processes (e. g. via photodegradation, microbial degradation, temperature) of polymers (e. g., PBS
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well as the mantle’s viscous response to the unloading of deglaciated ice. As a result, spatial differences in ice texture can locally enhance or slow down ice flow, leading to some areas with faster than average ice
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across Europe. The aim of NorSink is to improve the knowledge base for decision making through six key activities: assimilating rich Norwegian datasets into process-based models novel modelling of forest