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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
an excellent grasp of quantitative analysis in order to understand suicidal phenomena, epidemiological data, and to track outcomes. Applications from candidates with training in the diagnosis and treatment
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a supportive, mission-driven environment, we invite you to apply and join our team. Qualifications: Ph.D. in epidemiology, public health, biostatistics, nursing, psychology, neuroscience, clinical
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Diseases Institute (SydneyID) and contribute to cutting-edge research in diagnostics and epidemiology of infectious diseases. The role is part of MRFF Genomics Health Futures project aimed to apply microbial
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, Environmental Health Sciences, Epidemiology & Community Health, and Health Policy & Management. Ranked nationally by the U.S. News & World Report as the #6 public school of public health, SPH is home to
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degree in epidemiology, biostatistics, public health, social and behavioral sciences (e.g., sociology, psychology), or related fields with strong emphasis on quantitative methods or applied statistics Must
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determinants of health with a focus on cognitive decline/dementia and an emphasis on the application of epidemiologic, econometric, and other methods to strengthen causal inference using multilevel, longitudinal
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information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary The fellow will work with Dr. Greta Bushnell, Assistant Professor of Epidemiology
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epidemiology/ psychology/ psychiatry/ public health research. Experience in quantitative methodology is essential, particularly observational research designs. The successful candidate will report directly to
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and other research resources available for faculty and postdoctoral associates. Required Qualifications: A PhD degree in environmental health, biostatistics, epidemiology, toxicology, pharmacometrics
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audience. The ideal candidate will have a background in epidemiology/ psychology/ psychiatry/ public health research. Experience in quantitative methodology is essential, particularly observational research