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research team. This position offers an exciting opportunity to contribute to cutting-edge research at the intersection of artificial intelligence reasoning and renewable energy analytics. Position
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-scale human health datasets (e.g., UKBioBank, WHI, All of Us) using statistical and artificial intelligence/machine learning techniques. Develop and implement machine learning models, including
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on nuclear arms control, disarmament, nonproliferation, verification, and on the global security challenges associated with emerging technologies such as artificial intelligence, quantum technologies, and
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are required. Strong written and oral communication skills and ability to work both independently and collaboratively as part of a multidisciplinary research team are required. Knowledge of artificial
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Artificial Intelligence (AI)-enabled restructuring. The Postdoctoral Associate will work with ILR faculty member Virginia Doellgast in the Department of Global Labor and Work. In addition to working
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refine artificial intelligence/machine learning models to discover novel cardiovascular disease networks and biomarkers Work with your PI and other AI/ML scientists in NextGen to curate human single cell
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We seek applicants who are eager to push the boundaries of data science, artificial intelligence, and network modeling to address real-world policy challenges. Key Responsibilities: The Postdoctoral
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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
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methodologies and international collaborations. Developing novel computational tools that use recent advances in artificial intelligence to automate and enhance bioinformatic analyses. These projects
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) at the University of Florida (UF) is seeking a highly motivated and ambitious Postdoctoral Researcher with a strong background in Artificial Intelligence and Machine Learning (AI/ML). This is an exciting opportunity