313 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Stanford University" positions at Emory University
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information. Collaborate. Innovate. Serve. These three simple words capture what we do at EPC to help advance science and improve the health and well-being of humans and non-human primates. If you are someone
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Management faculty research and teaching interests can be viewed at https://goizueta.emory.edu/faculty/organization-management Goizueta Business School’s undergraduate BBA is ranked No. 14 nationally by U.S
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animal health and lives worldwide. One of seven NPRCs funded by the NIH, EPC conducts studies that make breakthrough discoveries possible. Learn more at http://enprc.emory.edu . The Division of Animal
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. Applicants should have a demonstrated interest in teaching first- and second-year courses to non-majors/prospective majors within a liberal arts setting. Please apply to this position via Interfolio at https
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. Dr. Zhang received her Ph.D. in Cell Biology from Yale University and her M.S. in Computer Science from Stanford University. She finished her postdoctoral training at the University of California, San
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of disease control. Fellow duties also include collecting, analyzing, and interpreting statistical data and preparing epidemiologic reports. The applied epidemiology experience is supplemented by competency
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include collecting, analyzing, and interpreting statistical data and preparing epidemiologic reports. The applied epidemiology experience is supplemented by competency based professional development
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include collecting, analyzing, and interpreting statistical data and preparing epidemiologic reports. The applied epidemiology experience is supplemented by competency based professional development
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include collecting, analyzing, and interpreting statistical data and preparing epidemiologic reports. The applied epidemiology experience is supplemented by competency based professional development
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technology and data infrastructure. This role partners closely with faculty, doctoral students, research centers, and administrative leadership to enable high-impact, data-intensive, and computationally