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a deep theoretical understanding of AI, practical proficiency in using AI will be considered in the selection process. A background in causal inference using econometric methods that can be used
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candidate, budget availability, and internal equity. Pay Range: $76,383 - $150,000 We are looking for a talented researcher with experience in econometric/quasi-experimental approaches for causal effect
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data using econometric techniques; designing and implementing randomized controlled trials. Experience in quantitative methods including prior coding experience (e.g., in STATA or R) and/or in
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or TransCAD) or open-source transportation modeling software (i.e., MATSim and DTALite); Advanced knowledge of spatial analysis, econometrics, and/or machine learning. Additional Certifications: Additional