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payments and receivables for R&R projects. Resolve conflicts concerning student accounts (both current and prior); work with front desk staff to resolve issues. Resolve and distribute write-off recoveries
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, especially data management and behavioral assessments is preferred. 3) Hands-on experience with the EPIC system is a plus. 4) Coding skills (Python, MATLAB, R, shell) are an advantage. Type Benefited Staff
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desirable. Familiarity with the command line, linux systems and R is desirable. Work Environment and Level of Frequency that may be required: Nearly Continuously: Office environment. Often: Infectious disease
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expression data ● Ability to effectively visualize statistical analysis results ● Experience teaching R programming, data analysis, and statistics ● Advising and mentoring interns, undergraduate and graduate
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, including recombinant DNA and protein biochemistry, strongly desired. Familiarity with fluorescent microscopy or flow cytometry is desirable. Familiarity with the command line, linux systems and R is
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bioinformatics techniques. · Program in Python and R to analyze data, develop computation pipelines, and generate visualizations. · Troubleshoot protocols, innovate experimental approaches, and contribute
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the development and management of the deferred maintenance, capital improvement and R&R budgets in coordination with user representatives. Using a consensus and precedent based process, and within established
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interpret high-dimensional data from flow cytometry, single-cell sequencing, and imaging-based assays, using tools such as FlowJo, R, Python, or other bioinformatics platforms. 4. Collaboration & Cross
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Department 00252 - Rehab Psychology City Salt Lake City, UT Track Non Tenure Track New Position to Begin 2025 Details The Department of Physical Medicine and Rehabilitation (PM&R) at the University of Utah
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, modification, and maintenance · Award review/tracking. Completes project-related A/P and A/R activities for complex contracts. Reviews budget categories for reporting activities. · Demonstrates familiarity and