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research experience. Preferred Competencies Background conducting quantitative research in healthcare. Proficiency in optimization, statistics, machine learning, and econometrics. Outstanding verbal and
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to these challenges, working with high performance and distributed computing environments, working with large-scale machine learning models, and a proven research record of scholarly contributions through publications
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recent college graduates an immersive and rigorous research and career enrichment experience prior to pursuing a PhD or MD/PhD degree. MGCB Post-Bac Scholars will participate as full members of our
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field. Experience: At least three years of strong record of research productivity in machine learning and artificial intelligence. Expertise in AI/ML and interests in business and policy applications
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of the four campuses (two in Chicago, one in London, and one in Hong Kong) reflects the architectural traditions of its environs while offering a state-of-the-art learning environment. Chicago Booth is proud