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. Existing methods rely on fixed data and static models, which struggle to adapt to real-time changes and unpredictable conditions. This limits the ability to optimize energy storage use for critical
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as first author Strong statistical and quantitative skills, ideally including experience with large data sources Demonstrable expertise in the use of R statistical software for data management and
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20 Feb 2026 Job Information Organisation/Company UiT The Arctic University of Norway Department Department of Physics and Technology Research Field Physics Researcher Profile Recognised Researcher
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schemes based on new physical insights for large-scale climate models. Follow and implement the research tasks defined in the ‘OceanCoupling ’ project. Report regularly the updates of research progresses
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processing An interest in the processing of the sound structure of languages Experience in the design, running and analysis of EEG experiments Strong data analysis skills, including mixed effects modelling
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better subsurface understanding, uncertainty quantification, and robust forecasts suitable for emissions reduction, increased energy efficiency, and recovery improvements with large amounts of data
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Elisabeth Tønnesen via Unsplash Elisabeth Tønnesen We offer varied duties in a large, exciting and socially important organisation an ambitious work community which is developing rapidly. We strive to include
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programming experience to handle large-scale numerical modeling and analysis, and management of computational workflows Strong publication record relative to career stage Strong skills in scientific analysis