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diseases for publications. He/she must demonstrate the relevant experience with the first-author papers/manuscripts. Applicants must hold a PhD degree in genetics, epidemiology, statistical genetics
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different resolutions and at different scales; robust statistical inference; and causal inference through statistical analysis. A PhD in Geography, relevant social sciences, Natural Resources, Economics
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, medication outcomes, health disparities, and social determinants of health. The fellow will apply advanced pharmacoepidemiology methodological and statistical methods as well as longitudinal and multi-level
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their education and career development and strengthen the research environment at the University. The minimum requirement is a PhD in biostatistics, statistics, data science, or other quantitative fields
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Qualifications PhD is required. Additional Qualifications Strong background in neuroscience, learning and memory, motor control, biomechanics, control theory, or a related field. Strong statistical understanding
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complex research protocols to address research questions Make significant important contributions to the group's research, analyze data and prepare graphs/ charts, including statistics. Contributes
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PhD or postdoctoral research. Applicant should also be proficient in basic molecular biology research methods and experienced in cell culture. This fellow would lead NIH-funded studies focused
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. Experience in the analysis of single cell RNA-sequencing and spatial transcriptomics data is advantageous, and proficiency in statistical analysis tools such as R or Python is desirable. Interested candidates
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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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. · Excellent English written and oral communications skills · Familiarity with community engagement processes Minimum Qualifications A recent PhD degree in social science (such as information studies