17 algorithms-phd "INSAIT The Institute for Computer Science" Postdoctoral positions in Norway
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JavaScript for all functions to work properly. Please turn on JavaScript in your browser and try again. UiO/Anders Lien 18th August 2025 Languages English English English PhD-/Postdoctoral Research Fellowship
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/Machine Learning (AI-ML) approaches to meeting this challenge. Possible topics include, but are not limited to: storylines for plausible narratives of regional climate change, novel algorithms for rare
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for plausible narratives of regional climate change, novel algorithms for rare event sampling or ensemble boosting, and the development and use of hybrid climate models combining physics-based and ML components
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PhD levels, spread out on five campuses Førde, Sogndal, Bergen, Stord og Haugesund. Our ambition is to build stronger and more solid academic and research environments that will interact nationally and
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for plausible narratives of regional climate change, novel algorithms for rare event sampling or ensemble boosting, and the development and use of hybrid climate models combining physics-based and ML components
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based courses at the bachelor, master, and PhD levels in Arctic Biology, Geology, Geophysics, Technology and Safety. UNIS exploits its year round presence in the unique Arctic environment, utilising
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8 Sep 2025 Job Information Organisation/Company University of Oslo Research Field Arts » Visual arts History Researcher Profile Recognised Researcher (R2) Positions PhD Positions Country Norway
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, Associate Professor Ragnhild M. Bø to receive the full project description. The Postdoc will become part of DRESS’ core team which includes PI Ragnhild M. Bø and a PhD. The team benefit from an advisory board
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; vi) perform the analysis of the ensemble projections and discuss, publish and disseminate the results. Education requirements: The successful candidate must have a PhD in climate science, Earth system
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, Associate Professor Ragnhild M. Bø to receive the full project description. The Postdoc will become part of DRESS’ core team which includes PI Ragnhild M. Bø and a PhD. The team benefit from an advisory board