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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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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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multidisciplinary research team are required 7. Knowledge of artificial intelligence (AI) models and development of AI tools with applications in disease detection/diagnosis and epidemiology is desirable 8
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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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Postdoctoral Research Associate will contribute to developing and/or applying artificial intelligence, machine learning, and image segmentation and/or data science-based methods to address cutting-edge topics
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Location: Cambridge, Massachusetts 02142, United States of America [map ] Subject Areas: Biology Machine Learning Artificial Intelligence Appl Deadline: (posted 2024/09/30, listed until 2025/09/30) Position
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NSF, FEMA, DHS, and other local agencies. They will lead research activities involving harnessing and synthesizing the latest developments in artificial intelligence, remote sensing, and simulation and
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wildfire simulation, fuel modeling, remote sensing, data-driven methods, artificial intelligence, and real-time applications. The successful candidates will contribute to the development of faster than real
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professional deliverables ● Experience with causal inference, machine learning, and artificial intelligence is desirable ● Experience with clinical, EHR, or biobank data analyses is desirable
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-motivated person to lead OME initiatives designed to advance knowledge of the role of advanced data systems (e.g. Artificial Intelligence (AI), Virtual Reality (VR)) in public health applications and