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across real-world, noisy, and dynamic data streams. In collaboration with Prof. Dr. Hilde Kühne, we will investigate large-scale data annotation strategies across billions of data points, facilitating
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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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research group “Machine Learning for Biomedical Data” led by Prof. Dominik Heider and is embedded in the DFG-funded Collaborative Research Centre 1748, Principles of Reproduction. The CRC 1748 involves
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of SOPs and process documentation. Coordinate efforts with Duke’s GMP Cell therapy Facility. Contribute to preclinical IND-enabling studies. Manuscript preparation. Data analysis Maintain accurate
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position The University of Agder invites applications for a full-time fixed-term appointment as PhD candidate in Technology/Information and Communication Technology at the Faculty of Engineering and Science
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from computational engineering and computer simulation (such as the finite element method) to represent and exploit relationships along the composition-process-structure-property-performance chain
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the UiO:Life Science convergence environment “UiO:Real-World Evidence: Capitalizing on Norwegian Health Data for Rapid Generation of Real-World Evidence on Effectiveness and Safety of Pharmaceuticals”, funded by
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The most highly qualified candidates will be invited for interviews. A list of applicants may be published in accordance with Section 25 of the Norwegian Freedom of Information Act. When you apply
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4‑year PhD position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and
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This PhD project aims to transform paediatric healthcare by addressing critical data and research gaps through advanced artificial intelligence (AI). Despite its importance, paediatric healthcare