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algorithms to compute similarity between interaction interfaces across millions of comparisons. This hinders identification of novel modes of protein binding, i.e. those predicted by AlphaFold, and it hinders
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Requisition Id 15448 Overview: We are seeking a Postdoctoral Research Associate who will focus on creating innovative artificial intelligence algorithms for the trusted visualization of large
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Computing Security. The candidate is expected to do cutting-edge research in multiple of the following areas, therefore prior expertise in these topics are highly encouraged: Quantum Machine Learning (QML
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multiple faculty clients at a time, and these engagements might last from a few days to several months. Your role will require you to listen carefully and critically to understand the faculty member’s
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methodologies underlying spatial data, high-dimensional and big data (e.g., data from wearable devices, electronic health records), Bayesian statistics, and learning algorithms as novel data analytical tools in
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applications for a Research Associate / Postdoctoral Associate position, in the area of Quantum Computing Security. The candidate is expected to do cutting-edge research in multiple of the following areas
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collaboration with multiple tech companies to develop and demonstrate the next generation of free-space optical (FSO) communication systems for satellite communications. Information Satellite-based links
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for Multi-Agent Decision-Making, https://oceanerc.com ). This timely project will develop statistical and algorithmic foundations for systems involving multiple incentive-driven learning and decision-making
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maintainable software code according to software best practices. Designing software applications and algorithms to support RF network projects and applications. Deploying and supporting software delivered
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scale and resolution. This ambitious project spans multiple institutes including the Wu Tsai Neurosciences Institute, Stanford Bio-X, and the Human-Centered Artificial Intelligence Institute, bringing