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Field
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computer science, or a field related to computational sciences. Must have a strong background in computer vision, artificial intelligence (AI), and/or wireless networking and systems, and related fields. Preferred
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that leverages artificial intelligence and large language models to solve fundamental problems in autonomous driving, robotics, verification and validation, and safety problems related to autonomies. You will
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research, covering research topics including, but not limited to Crop Modeling, Machine Learning, Artificial Intelligence (AI), Internet of Things, and Big Data analysis for Precision and Prescriptive
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Number: JR91414 Position Summary The postdoctoral fellow will develop artificial intelligence applications to support characterization of medical data with a focus on radiology image, radiology reports
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-Performance Computing (HPC), scientific Artificial Intelligence (AI), and scientific edge computing. We are a leader in computational and computer science, with signature strengths in high-performance computing
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health (including artificial intelligence, data science, cybersecurity, regulatory science), and law, policy, community development and engagement to support integrative health. Of special interest
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for Innovation in Engineering Education. The position is in the area of Human-Centered Artificial Intelligence Research and Design.The Keller Center, an interdisciplinary hub within the School of Engineering with
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Model, including effective field theories and perturbative QCD, phenomenology at current and future colliders, as well as emerging areas in Artificial Intelligence, Machine Learning, Quantum Information
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impairment capturable with digital interfaces. Experience with agentic large language models. Experience in artificial intelligence to develop the algorithms for digital twins. Experience with both qualitative
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Aging and Alzheimer's Disease A. La Spada: Mechanisms of Neurodegenerative Disease / Neurotherapeutics J. Lipkova: Artificial Intelligence in Medicine. https://octopath.org/ M. Rose: Neuronal Diversity