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SQL, Excel, R, and Power BI. Analyze business needs and track ad-hoc report usage to assess and recommend report development priorities for the division. Design, develop, validate, and verify new
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institutional or third-party invoices, student account balances, accounts receivable (A/R) recovery and/or reconciliation accounts. Conduct activities and processes that drive recovery, collection, reconciliation
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maintain reproducible analysis workflows and manage large datasets. Visualize data trends using R, Python, or other relevant tools; generate figures for publications and presentations. Assist in manuscript
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Reporting, HR, and the university are getting value from HR data. Uses languages and tools like R, Power BI, Cognos, and Excel to quickly get information and data into client’s hands. Works with stakeholders
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, IRB processes, coding, statistical analysis (SPSS, R), formal clinical training (e.g., MS in clinical psychology), experiment software, fMRI analysis, publications, or phlebotomy. Must be fully
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institutional or third-party invoices, student account balances, accounts receivable (A/R) recovery and/or reconciliation accounts. Conduct activities and processes that drive recovery, collection, reconciliation
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(R, Python, and/or command line). Wet lab research experience. Experience in supervision. School/College/Division: H12 - College of Liberal Arts & Science Primary department: H1204 - Biological
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discipline in science or engineering. At least 2 years of work experience with a computer programming language such as R, Python or other languages, demonstrating excellent proficiency. Work experience with
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discipline in science or engineering. At least 2 years of work experience with a computer programming language such as R, Python or other languages, demonstrating excellent proficiency. Work experience with
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and/or psychiatric disorders. Expertise in statistics and statistical software (e.g., R, Matlab, SPSS). Expertise in neuroimaging software tools (e.g., FSL, FreeSurfer). Applicants who are interested in