27 assistant-professor-computer-science-data "https:" "https:" "https:" "https:" "Dr" "St" "St" Postdoctoral positions at Emory University
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contribute to the excellence of our academic community. JOB DESCRIPTION: Helps design and conduct research on neuroendocrine cancers while receiving advanced training from Dr. Po H. Ear to enhance professional
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., cardiometabolic diseases and chronic infections) are available at Emory University Rollins School of Public Health under the supervision of Dr. Yan Sun. The postdoctoral fellow will help design and conduct genomic
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specified by the Principal Investigator. Additional Information about the job: The successful post-doctoral candidate in this position will work closely with Dr. Robert Roeser in his role as the Alice Valli
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of Environmental Sciences The Climate Transformations Lab (ClimTransform Lab), led by Dr. Jola Ajibade, invites applications for a Postdoctoral Fellow to join an interdisciplinary research team at Emory University
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-funded research program. Dr. Pak’s overall research program investigates genetic, metabolomic, and proteomic factors underlying common sleep disorders and chronic disease. This work spans across
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with their contact 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
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are not limited to lithic, behavioral, statistical, and computational data collection and analysis. Provides input to research design and protocol development, including the development of new research
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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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Professor Darren Hutchinson, affiliated faculty, post-doctoral fellows, and students conduct CCRSJ research activities and policy design. CCRSJ also works with nonprofit organizations to broaden employment
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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