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simulations and perform computational experiments using high-level programming languages (e.g., Python, MATLAB, R, or Julia). Curate and integrate experimental data to calibrate and validate models, including
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. This must include strong Excel skills. Proficiency in R is a plus. Strong working knowledge of Mplus, in addition to at least one other general statistical package (e.g., SPSS, R, or SAS), is required
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the implementation and testing of algorithms. * Strong programming skills in R or Python. * Familiarity with data science and visualization libraries in R or Python. * Experience with GitHub, conda environment and
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, preferably in neuroscience, psychology, or arts and health, including the creative arts therapies. Preferred: demonstrated expertise in data analysis and statistics (e.g., R, Python, MATLAB, SPSS), preferably
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and/or R knowledge will be given priority. This individual will act as the lead team member for a specific administrative data set and will assist other lead members on their assigned administrative
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and/or R knowledge will be given priority. This individual will act as the lead team member for a specific administrative data set and will assist other lead members on their assigned administrative
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 23 hours ago
. All degrees must be received from appropriately accredited institutions. Required Qualifications, Competencies, and Experience Experience with statistical software (e.g., SPSS, R, etc) and/or
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to summarize and communicate key results. Previous experience collecting, categorizing, and storing physical samples and digital data Strong Proficiency in creating reproducible data analysis workflows with R
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, such as R, SPSS, Stata, MAXQDA, and Nvivo. Aid in the analysis of data to derive insights into best practices for practitioners and recommendations for policy makers. Ability to present research findings
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. Experience with high-throughput data analysis, including single-cell RNA sequencing, spatial transcriptomics, or computational immunology using R or Python, is a plus but not required. Excellent organizational