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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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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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. Successful candidates will bring experience with survey methodology, psychometrics, and/or quantitative research design; along with proficiency in statistical analysis and data visualization tools
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. Coordinating studies involving human participants; Processing and analyzing biological samples; Data management including handling large data sets and performing statistical analysis; Communicating results
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and type 2 diabetes. Comfortable writing code in languages like R or Python for bioinformatics/statistical analysis or proficiency in Unix shell scripting or high-performance computing. Familiarity