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22nd October 2025 Languages English English English Join NMBU’s PheNo project and advance AI-driven modelling in plant phenotyping. Postdoctoral fellow in Computational Plant Genetics and Digital
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collected by different projects that this position will work upon. Suggested reading to explore this line of research further: Kitto, K., Hicks, B., & Buckingham Shum, S. (2023). Using causal models to bridge
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8 Sep 2025 Job Information Organisation/Company University of Bergen Department Geophysical Institute Research Field Engineering » Computer engineering Physics » Metrology Physics Researcher Profile
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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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work upon. Suggested reading to explore this line of research further: Kitto, K., Hicks, B., & Buckingham Shum, S. (2023). Using causal models to bridge the divide between big data and educational theory
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., Hicks, B., & Buckingham Shum, S. (2023). Using causal models to bridge the divide between big data and educational theory. British Journal of Educational Technology, 54(5), 1095-1124. Swist, T., Gulson, K
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to create knowledge for a better world. You can find more information about working at NTNU and the application process here . ... (Video unable to load from YouTube. Accept cookie and refresh page to watch
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knowledge for a better world. You can find more information about working at NTNU and the application process here . About the position We are looking for a postdoctoral candidate with expertise in
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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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://www.lcbc.uio.no. Job description Develop quantitative models to estimate how the brain and various cognitive processes change throughout life. Process and analyze data from multiple sources, including behavioral