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, multivariate statistics Data science skills related to large spatial and temporal datasets such as data management, QA/QC approaches, and creating and conceiving meaningful visualizations Technical skills may
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, COMPASS-31 measures, etc. The project may include descriptive analysis, multivariable modeling, and integration of findings across epidemiologic datasets to improve understanding of infection-associated
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baths, monitoring dye uptake, and evaluating color responses. Beginning or intermediate experience with statistical modeling or machine-learning methods, especially for exploring multivariable
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months. Preferred Skills: A background in computer and/or data science with some experience in machine learning, multivariate statistical analysis, artificial intelligence, or computer programming. Some