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is seeking a postdoctoral researcher with interests in Childcare Access and Quality; Data and Statistical Methods; and/or Child Development more broadly. The successful candidate will work with an
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studies, documenting research data, identifying technical problems and proposing solutions, taking team science approaches, next-generation sequencing data analysis, bioinformatics and statistical analysis
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statistical data analysis. Show evidence of experience in focus groups, interviews, and other qualitative methodologies. Be skilled in literature review, research project management, and academic writing
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culture, expertise in phylogenetic analysis of large NGS datasets, and proficiency with relevant bioinformatic pipelines, statistical tools, and software is required. This experience could include graduate
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, and the integration of telemetry, demographic, and environmental data. High proficiency in R or comparable programming languages is required, and experience with statistical modeling, geographic