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is derived from a large, population-based Norwegian colorectal cancer screening study, including up to six samples per participant and comprehensive data on lifestyle, medication use, and colonoscopy
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information. How can we design and implement real‐time AI systems for immersive, dynamic, and ethical human‐machine collaborations in artistic performances? MishMash Work Package 1 will address this challenge
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% position is available at the University of Agder, Faculty of Engineering and Science as a PhD Research Fellow in ICT, affiliated to the Department of Information and Communication Technology at, for a
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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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analysis workflows (Python and/or Julia-based; HPC-oriented handling of large datasets). Depending on competence: contributing to research software development supporting simulations and/or data workflows
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. The project will leverage large-scale longitudinal data from the Adolescent Brain Cognitive Development (ABCD) Study and conduct a new longitudinal study with adolescent girls initiating HC use. For more
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including multiple and embodied AI agents. Countering the current trends of very large models with hard-to-control outputs, we will focus on balancing data-based approaches with artists’ knowledge and search