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Learning is a Centre of Excellence, funded by the Research Council of Norway. Researchers at Integreat develop theories, methods, models, and algorithms that integrate general and domain-specific knowledge
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. Researchers at Integreat develop theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data. By combining the mathematical and computational cultures, and the
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complex patient pathways. The project will consist of three studies: Mapping and modelling of interaction patterns in different patient pathways (e.g. stroke, cancer, elderly care). The objective is to map
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Telescope may be possible, depending on the interest of the PhD candidate and availability of the pilot sites. The core activity of the ATLAST2 shall support Researchers, PhD candidates and Postdocs
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updates, and interoperability at scale. In close collaboration with project partners, the PhD candidate will focus on relevant data modeling and processing approaches for data gap filling, redundancy
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balance, consisting of full-time professors, researchers, and many postdocs and PhD candidates. The planned PhD research topic will explore techniques to handle protected data in digital twin architectures
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important part of the mission of SecurEL. The PhD candidates funded by the Centre will contribute with cutting-edge knowledge and research. Overall, the Centre will directly finance 17 PhD and postdoc
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-event models and causal inference; epidemiology of lifestyle, occupation, chronic and infectious disease; methods for high-dimensional models and data integration (especially in molecular medicine
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are looking for an ambitious scholar interested in researching user experiences with AI in the news media. The postdoc will form part of the team for the project “IMAGINE: Citizen perceptions of AI in everyday
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researching user experiences with AI in the news media. The postdoc will form part of the team for the project “IMAGINE: Citizen perceptions of AI in everyday media life”, funded by The Research Council