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the application of complex statistical methods are required. This will include programming of computationally intensive statistical procedures, variable creation, database management, data integration and analysis
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(NC3) and Epic Systems, among others. Design and develop statistical models and analyses using relevant software such as SAS, Stata, R, Python and SQL. Advise research collaborators on statistics
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members in defining the project and applying principals of data science in manipulation, statistical applications, programming, analysis and modeling. Performs other related work as needed. Minimum
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elucidation and unknown identification, preferably of natural products. Experience using statistical analysis tools to develop high-throughput data analysis tools. Experience in metabolomic sample prep, mass
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manipulation, statistical applications, programming, analysis, and modeling to support projects. Responsibilities Applies analytical skills and methodologies to collect, audit, and synthesize student-provided
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detail-oriented work are necessary. Prior experience in human subjects testing, database and graphical packages, and statistics are desired. Past research assistants have been accepted to strong PhD
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Department PSD Institute for Mathematical and Statistical Innovation: Administration and Staff About the Department The Institute for Mathematical and Statistical Innovation (IMSI) is an NSF-funded
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systems users and external system applicants (e.g., performing basic troubleshooting, statistical analysis, reporting, maintenance, research and upkeep using existing system functionality.) Manages system
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, biochemistry, biophysics, and genetic experiments under the guidance of the principal investigator and in collaboration with researchers in the lab. Analyze experimental data using statistical and bioinformatics
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and vibrational spectra, solution-phase and solid-state characteristics. Data Analysis: Analyze experimental data rigorously, employing statistical and computational tools as necessary. Interpret