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/ambulatory assessment/EMA; (2) data analytic skills for intensive longitudinal data, including app-based surveys; (3) R and/or MPlus software packages; and (4) collaborating effectively with teams
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learning; software development Preferred Qualifications: Excellent academic writing ability on quantitative topics Familiarity with relevant software environments (e.g., R, Python, SPSS) Expertise in
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the following areas: Performing and/or analyzing functional genomics experiments Competence with Unix environment, R, Python, high performing cluster Familiarity with machine learning Have taken coursework in
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longitudinal modeling Advanced experience with programming languages and statistical software (e.g., R, Unix) Ability to manage and analyze large-scale, high-dimensional datasets Proven experience working