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-intensive physics with nuclear/particle aspects, advanced detector R&D, machine learning and AI and emerging computational methods in quantum computing. The position is intended for an excellent and broadly
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alloys for energy applications in harsh environments using additive manufacturing. This research involves integrating computational modeling, machine learning, and experimental investigations to design and
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members have won Nobel Prizes for these ideas - the first business school to achieve this accomplishment. For more information about the University of Chicago Booth School of Business, please visit: http
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driving simulation, human-machine interaction, physiological and behavioral data collection, AI-enabled systems, and translational safety research across transportation, public health, and national security
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to implement occupational and environmental health interventions. Current and planned populations of study include active-duty military personnel, bus operators, home care workers, and patients with co-morbid
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center, please visit http://csiss.gmu.edu/. George Mason University College of Science (Mason Science) is committed to advancing inclusive excellence and fostering an environment free from discrimination
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, data science using EHRs, machine learning, data mining, and natural language processing are preferred. Job Description: Develop large language models and other methods and tools to effectively use
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website: https://glykys.lab.uiowa.edu Position Responsibilities Record, plot, analyze and interpret data independently using electrophysiological and imaging techniques, including two-photon and whole-brain
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requirements are Experience in working with large-scale spatial-temporal traffic and/or travel behavior data, e.g., loop detector, floating car data, GPS data, cellphone data. Experience with transport
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data to identify novel disease phenotypes. The candidates will work within a highly multi-disciplinary team of physicians, physiologists, electrical and biomedical engineers and computer scientists and