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postdocs, another doctoral fellow, a research adviser, a data management expert and a research assistant. AI STORIES explores the hypothesis that deep narrative structures in the datasets used to train
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Literature. The AI STORIES project is a European Research Council Advanced Grant led by Professor Jill Walker Rettberg, with a team of three postdocs, another doctoral fellow, a research adviser, a data
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of saprotrophs (bacteria and fungi) as well as mycorrhiza fungi. The postdoc will work together with UiO expertise on data assimilation to calibrate the coupled CLM-FATES model using: Snow cover Flux tower data
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candidate and availability of the pilot sites. The core activity of the ATLAST2 shall support Researchers, PhD candidates and Postdocs. They work in close contact with the research and user partners
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studies: How AI can be used to prioritize risk areas within supervision activities based on existing data held by supervisory authorities. How the conduct of supervision can be supported by AI, including
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of Informatics, Uni-versity of Oslo, and will be part of a growing research agenda at the intersection of epidemiology, statistical modeling, machine learning and public health data systems. The project aligns
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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cycling, by including growth and decay of saprotrophs (bacteria and fungi) as well as mycorrhiza fungi. The postdoc will work together with UiO expertise on data assimilation to calibrate the coupled CLM