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Field
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topic Publishing in high-quality peer-reviewed international journals REQUIREMENTS: Master’s degree and (preferably) PhD e.g. in Biostatistics, Epidemiology, Mathematics, Physics or related discipline
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accordance with the Boston University Postdoctoral Compensation Guidelines and the Postdoctoral Scholars Policy. To be considered, applicants must hold a PhD in epidemiology, biostatistics, computational
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degree may have been completed earlier. The following are essential criteria: PhD in a relevant discipline. This includes, but is not limited to, epidemiology, biostatistics, psychiatry, psychology, or a
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, a PhD student, a research nurse, and several affiliated researchers and students. Our research spans the spectrum from epidemiological studies to analyses of cerebrospinal fluid, genetics, and protein
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experienced by people living with HIV (PLHIV). This position offers an opportunity to contribute to innovative, policy-relevant research at the intersection of epidemiology, social sciences, statistics, and
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postdoctoral researcher with a strong interest in epidemiology or data science. You will hold (or be close to completing) a PhD in a relevant discipline such as medical statistics, epidemiology, biomedical data
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, economics, or a related field. Minimum Requirements PhD in epidemiology, veterinary medicine, public health, data science, statistics, economics, or a related field. Strong quantitative and statistical skills
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/artificial intelligence; (f) health policy, health economics, and decision science; (g) and implementation science Eligibility The ideal candidate will have an MD/DO, PhD, or ScD. PhDs/ScDs may be in clinical
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and statistical analysis sections (including power analysis) for research grant proposals. •Work effectively with other members of the research team. Earned a doctorate (PhD, MD/MPH, etc.) in health
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are looking for candidates to have the following skills and experience: Essential criteria PhD in spatial epidemiology, quantitative geography/remote sensing, ecology, statistics, engineering, quantitative