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Research is available for collaboration and as a resource for combined fellowships with the pediatric hospitalist program. The Department also has research relationships with the Regenstrief Institute in
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approaches to data analysis. We welcome applicants working across a variety of approaches, particularly computational and Bayesian, and with a range of data, including text, survey, and panel data. In
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/faculty/51983/richer-martin and https://www.mjricherlab.com/ for more information. Applicants should have recently completed PhD training, have a solid understanding of immunological concepts and a
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to effective prevention services and improve population health. Basic Qualifications Required: · PhD, DrPH, ScD, or equivalent doctoral degree in Public Health, Epidemiology, Behavioral Science, Health Services
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conferences; and participating in lab meetings. Basic Qualifications Education and Experience Required: PhD Qualifications: Highly motivated candidates with a Ph.D., in microbiology, biochemistry, biology, or a
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preferred start date of May 1, 2027. Applicants must hold an O.D. or equivalent degree, be eligible for optometric licensure in Indiana, and have completed an accredited residency program or possess
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commensurate with qualifications and experience. The school anticipates multiple hires as part of a strategic investment in the continued growth of its accounting program within an AACSB-accredited School
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of Biostatistics and Health Data Science at Indiana University School of Medicine, in close collaboration with the Regenstrief Institute, a nationally renowned center for health informatics research and real-world
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candidate will teach three courses per semester, contribute to service, and have an active scholarship program. Faculty may be required to teach online and nonstandard hours. U.S. citizenship or lawful
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successful candidates to have a PhD in Statistics or a related field. Applicants should apply online at https://indiana.peopleadmin.com/postings/32131 . Please include a cover letter; CV; teaching statement