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spatial and statistical relationships. Contribute to the development of briefs, presentations, and reports that describe and interpret findings and provide actionable insights. Respond to ad-hoc research
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professional. The successful candidate will have a passion for collaborative research and will contribute in the areas of study design, data management, a broad range of statistical analysis, and scientific
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equality in education and employment. Qualifications: Minimum Qualifications: Applicants must meet minimum qualifications at the time of hire. PhD in biostatistics, statistics, or related field Experience
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qualifications at the time of hire. PhD in relevant scientific area such as Biochemistry, Cell Biology, Molecular Biology, Physiology, Biophysics or Reproductive Biology Relevant previous post-doctoral experience
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Knowledge, Skills, and Abilities: Knowledge of econometrics, statistics, or data science at the PhD level Data management, programming and analytical skills Ability to work with large datasets Excellent
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regulations/policies. Be able to report on student application data, demographic and statistical profiles concerning admissions, matriculation, diversity, and student progression. In collaboration with staff
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experimental design, data collection, analysis (graphing and statistics), quality control, and writing manuscripts and grant proposals. Work well independently and as a member of a highly collaborative team
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is committed to diversity and equality in education and employment. Qualifications: Minimum Qualifications: Applicants must meet minimum qualifications at the time of hire. PhD in relevant field
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new study designs, statistical analyses, breakthroughs in research, and funding opportunities. Host workshops on how to identify new avenues of funding, writing techniques, best practices of publishing
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- this role is expected to work onsite and is located in Aurora, CO. Qualifications: Minimum Qualifications: Applicants must meet minimum qualifications at the time of hire. PhD in relevant scientific area such