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of this T32 program is to prepare nurse scientists who have knowledge and skills to employ data science (DS) and/or health information technologies (HIT) in order to advance health research using innovative
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Ph.D. in Computer Science, Data Science, Economics, Engineering, or related field Excellent scientific written and oral skills Experience in developing state-of-the-art optimization and prediction models
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Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community. KEY RESPONSIBILITIES: The Research Assistant (RA)...
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. For the qualified candidate, there may be an option to create a personalized program, which could include body imaging as well as general and cardiac nuclear medicine rotations. An option for a second year of
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medical school. Graduate of an accredited, post-graduate residency program in Pediatrics or Internal Medicine. Completion of an accredited fellowship program in Allergy/Immunology. Certification Summary
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contribute to the excellence of our academic community. Emory University, School of Medicine, Department of Radiology and Imaging Sciences, is offering a full-time one-year Cardiothoracic Imaging Fellowship
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. For the qualified candidate, there may be an option to create a personalized program, which could include body imaging as well as general and cardiac nuclear medicine rotations. An option for a second year of
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contribute to the excellence of our academic community. Independently performs a wide range of research activities in the Department of Anthropology’s Paleolithic Technology Laboratory. These may include, but
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errors of metabolism. The fellow will provide clinical support to the Emory MNT4P Program and Metabolic Genetics Clinic, as needed. The fellow will collaborate with PI and other team members on protocol
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, Biostatistics, Computer Science, Economics, or a related quantitative field. Strong background in causal inference, statistical methodology, or machine learning. Experience with nonparametric or semiparametric