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Field
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funding, including with writing technical portions of grant proposals. Required Qualifications* A doctoral degree in epidemiology, sociology, health behavior, health policy, statistics, or a related field
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-quality data visualizations to synthesize sequencing-based analysis results e.g.,Rshiny, d3, plotly, ggplot2. A solid understanding of statistics and experience in the implementation of machine learning and
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 7 hours ago
Health, Biostatistics, Epidemiology, Exercise Science, Kinesiology, or closely related areas • Some analytic programming/coding skills for data management and statistical analyses • Interest in learning
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Statistical Sciences FTE 1 FLSA Exempt Scope of Job We seek applicants who are dedicated to serving The University of Texas Rio Grande Valley’s student body as a Postdoctoral FellowofThe School of Mathematical
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deploying the appropriate tools to rigorously test these hypotheses. We use a variety of molecular biology, statistical, genomic, and epigenomic approaches to understand cancer. If required, we develop novel
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communication skills. The ideal candidate will use their computational skills, biological knowledge, understanding of statistics, and creativity to help us understand complex genomic data sets. Proficiency in
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, statistical analysis, and technical evaluation of research experiments and results; and summarize results for inclusion in scientific and clientele-oriented publications and presentations at professional and
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budgeting analysis Familiarity with STATA, R or similar statistical/mathematical tools. Evidence of the ability to conduct independent economic research and assume responsibility for the development and
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target trial emulation in combination with advanced epidemiologic and statistical methods to draw inferences from longitudinal data to answer pressing outstanding questions related to the safety and
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accommodations. Knowledge, Skills and Abilities Knowledge and experience in quantitative research and evaluation methodologies for the social sciences. Ability to use SAS, Stata, or R statistical software packages