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analysis, data simulation and imputation. B) Participate in development and testing statistical methods for admixed human datasets. C) Omics (genome, transcriptome, microbiome, epigenome) data integration
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Molecular Genetics. Candidates with interests spanning statistical genetics, neuroimaging data analysis and developmental neuroscience, and the study of etiological heterogeneity in the developmental
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contributes to heterogeneity in PD and how immune cell exhaustion may contribute to disease onset and progression. Perform statistical analyses, data integration, and interpretation of complex datasets
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statistics and data management (using R) Preferred: Experience designing web-based behavioral experiments Promising publication record Interests in improving education through psychological science The
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Microsoft Office, Prism (or other data analysis and statistical software) required. Extensive knowledge and prior work with mammalian cell culture, cell biology and basic molecular biology techniques
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for data-intensive research and statistical modeling. IU Astronomy has guaranteed access to NEID, the high-precision radial-velocity spectrograph on the 3.5-m WIYN telescope, enabling powerful synergies with
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multi-level datasets and contributing to statistical analyses. The researcher may also contribute to manuscript preparation and help develop new studies that extend the lab’s mission of using data science
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epidemiology using mathematical, computational, and statistical modeling. We are seeking researchers who are passionate about understanding the mechanisms driving epidemic spread, designing mathematical models
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required, including proficiency with basic data analysis programs (Excel, GraphPad Prism, sequence analysis software, etc.) and application of statistics. A record of accomplishment and publication in
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Ph.D. in biology, psychology, animal behavior or related field and experience conducting behavioral experiments (in any species) is required. Strong skills in complex statistical analysis is preferred