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Field
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health, artificial intelligence, and data science applications to healthy aging and caregiving Our Research Community The fellow will join an interdisciplinary consortium that brings together investigators
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
/or machine learning/artificial intelligence algorithms. Projects may also include work focused on the analysis of spatial and geographic data and work extrapolating results to different spatial scales
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well as climate protection) (e.g., fusion technologies, decarbonization of the economy and expansion of renewable energy, energy storage, and cross-border infrastructure) Artificial intelligence and digitalization
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causal inference, machine learning, and artificial intelligence is desirable ● Experience with clinical, EHR, or biobank data analyses is desirable Application Instructions To apply: Interested
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, and Heart Failure Discovery We are seeking a postdoctoral fellow to work at the intersection of cardiovascular medicine, biomedical data science, artificial intelligence, genetics, imaging, and multi
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availability, and internal equity. Pay Range: $80,000 - $90,000 About the opportunity Stanford University's Institute for Human-Centered Artificial Intelligence (HAI), in partnership with the AI for Public
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imaging applications of artificial intelligence, image understanding, or related areas Proficiency in Python programming; solid understanding of computer science fundamentals Experience with version control