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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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/reactions, with increasing emphasis on using artificial intelligence and quantum information science. The group has access to extensive laboratory and national computational resources and has significant
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at the table from day one, we are creating an agile workforce prepared to thrive in a competitive landscape powered by artificial intelligence as a force for good, and an environment for innovation in the life
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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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Intelligence (HAI) Postdoc Appointment Term: This is a full-time position based at Stanford University. The initial appointment runs for one year from the position start date. The position is intended
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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