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biobanks. Project description DDLS Fellows program Data-driven life science (DDLS) uses data, computational methods, and artificial intelligence to study biological systems and processes at all levels, from
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the Data-Driven Life Sciences initiative – one of Sweden’s largest and most ambitious research initiatives, focusing on using data, computational methods, and artificial intelligence to study biological
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/ This postdoctoral fellow position is part of a new Career Programme for early-stage researchers in Educational Sciences initiated by the Umeå School of Education. The Career programme aims to strengthen Educational
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application! Work assignments Subject area: Computational studies of the influence of microstructural features on the structural integrity of metallic materials using machine learning Subject area description
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of organic semiconductor materials. Work assignments This project, funded by the Wallenberg Academy Fellows programme https://kaw.wallenberg.org/en/research/creating-greener-semiconductors , aims to provide a