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Do you want to combine high-throughput directed evolution with machine-learning analysis of deep sequencing data to engineer better antibodies? The Sormanni Lab in the Department of Chemical
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-of-the-art bioinformatics approaches, increasingly incorporating AI and deep learning (see, e.g., Sarropoulos et al., Science 2026). This work has provided insights into the origins and functional evolution
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prospection with the FLAIR's strengths in developing new multi-objective deep reinforcement learning algorithms, to support decision makers under uncertainty. VUB team:Prof. dr. Ralf Vandam (AMGC), Prof. dr
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earlier. The three-year period can be extended due to circumstances such as sick leave, parental leave, duties in labour unions, etc. Documented experience in machine learning, in particular deep generative
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, Wallumattagal Campus, North Ryde The Role An exciting opportunity for a Postdoctoral Researcher exists in the School of Natural Sciences at Macquarie University. We are seeking a qualified candidate to join a
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Postdoctoral Associate Postdoctoral Associate: Statistical Integration of eBird and Acoustic Data Cornell Lab of Ornithology College of Agriculture & Life Sciences Ithaca NY The College
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. Education and scholarly development The postdoctoral associate will receive structured education in computer vision applications in medical imaging, machine learning, research methodology, responsible conduct
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | 14 days ago
. Postdoctoral position (m/f/d) 100 % “Bonobo life history incl. database management” The project We are looking for a postdoc to work on our long-term database, establishing an accessible framework that allows
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future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful
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-scale human datasets. You will: - Build and apply machine learning and deep learning models to multi-scale (cells, brains, patients), multi-modal (omics, biosensor data, vision, electronic health data