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Field
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data management, econometric methods, and excellent written and oral communication skills are required. The candidate selected for this position must be able to meet eligibility requirements to work in
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, empirical, research and writing skills. Experience in numerical software packages and languages like Matlab, Python and Julia. Knowledge in statistics and econometrics, including knowledge of statistical
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Description: Skills, Qualifications & Requirements: Experience with Econometrics, Stata Hourly Rate: $20.00/hour The salary of the finalist selected for this role will be set based on a variety of factors
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management and analyses of large health care datasets such as Medicare claims, and statistical and econometric analyses. Complies with established IRB, data use, and funder (e.g., NIH) agreements, and
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includes tasks such as conducting advanced econometric analysis and preparing results tables, managing large data sets, handling spatial data, applying machine learning algorithms, conducting computationally
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high-impact peer-reviewed journals. We are in particular looking for individuals with in-depth experience in econometric/quasi-experimental approaches for causal effect estimation (e.g., regression
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survey distribution, and perform statistical and econometrics analyses of primary and secondary data to qualitatively and quantitatively evaluate socioeconomic factors underlying the adoption or support
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/access, and the application of statistical and econometric methods to transportation data. The successful applicant will lead day-to-day activities on various research projects funded by public and private
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environments, econometrics, and data science • Thrives in a multi-disciplinary environment • Strong written and verbal communication skills Desired Experience: • Experience in risk quantification
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provide excellent preparation for graduate school or work in a data science career. Work includes tasks such as conducting advanced econometric analysis and preparing results tables, managing large data