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disparities in care. Methods include artificial intelligence approaches for analyzing electronic health records data, quality improvement methodology, engagement of and collaboration with community stakeholders
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migration, incarceration and the criminal justice system, democracy/populism, Artificial Intelligence, integral ecology, war/peace, or the structural response to poverty. (This is an indicative not
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position to develop and apply advanced analysis methods, including artificial intelligence and machine learning algorithms and approaches, for x-ray science and instruments. These methods will accelerate
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University of Florida. The preferred candidate should possess a background in applied Artificial Intelligence (AI) research in hardware security and assurance, specifically in reverse engineering of both
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analysis of atmospheric numerical model output (e.g., WRF, PALM, SAM) Experience with machine learning and artificial intelligence techniques Experience with predictive modeling Environmental, Health
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discipline. Preference will be given to applications submitted by candidates within five years of receiving their PhD. In particular for this position, the following is required: PhD in artificial intelligence
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artificial intelligence (AI) and machine learning (ML) methodologies and interested in advancing these tools for accelerating the analysis of the big data acquired by electron microscopy. • You work
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. Guolan Lu in the Department of Urology at Stanford University School of Medicine. The Lu Lab develops and integrates cutting-edge technologies in biomedical imaging, artificial intelligence, and spatial
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endocrinology services. Finally, we have projects evaluating opportunities to improve diagnosis and management of oculoplastic disease using artificial intelligence and opportunities to expand the reach of eye
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property prediction, modern artificial intelligence methods, molecular dynamics, and interdisciplinary research, this is your chance to be part of an exciting journey at the forefront of science and