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related to equity, diversity, and inclusion Preferred Qualifications Advanced knowledge of R, Python, or other coding language for public health analytics. Some knowledge of quantitative research methods
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, Genetics or a related field preferred. High degree of computer literacy including familiarity with word processing, spreadsheets. Experience with computer programming languages such as R considered an asset
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planning. Coursework or research experience in road safety, traffic modelling, or transportation planning. Proficiency in working with open data sources for traffic and transit operations using R, Python
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., instrumental variables, propensity score matching, and treatment effects). Familiarity with one or more statistical software packages (e.g., R, Stata, Python) for data analysis. Research Aptitude: Demonstrated