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Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived experiences. Embracing
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. The position will include opportunities to collaborate with clinicians and researchers studying neurological disorders, develop methods for longitudinally collected positron emission tomography and magnetic
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integrates computational analysis of immune receptor sequencing data, machine learning approaches for TCR prediction, and translational collaboration with clinical and laboratory teams. The successful
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the human-AI collaboration (HAIC) perspective. You will be part of the Noble research group at the Institute of Biomedical Engineering, based at the Old Road Campus in Headington. The full-time post is funded
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applying machine learning and computational methods for protein design, in close integration with experimental enzymology and biocatalysis. The tasks include: Development and application of AI and machine
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of collaborators spanning CERM, NUS, Imperial College London, Ashoka University, the Communicable Diseases Agency Singapore (CDA), the National Environment Agency Singapore (NEA), the Machine Learning & Global
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offers proximity to Washington, D.C., providing opportunities for collaboration with federal agencies and research organizations. Learn more about UVA, faculty benefits, and life in Charlottesville
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function. This role involves developing computational models, connectome analyses, and theoretical approaches using published and ongoing neuroscience datasets. The associates will collaborate with
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and international collaborations. You will be part of a collaborative research environment with close interactions with the Basel Research Centre for Child Health (BRCCH), the University Children's
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collaboration with the NERSC team, and the candidate may undertake research stays in Bergen to support joint work on remote sensing and machine-learning–based tasks. The project also includes collaboration with