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Responsibilities: Assisting in the collection and preparation of large and complex datasets. Conducting statistical and econometric analysis. Helping with code optimization and replicability. Preparing data
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have experience with or are eager to work with large databases and database management software. You have starter skills in statistical, econometric, or other quantitative data analysis, and some
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named Penn one of America’s Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access
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econometrics, causal inference, cost–benefit analysis, and project evaluation. The successful candidate will: Develop, design, and conduct nationally or internationally recognized research in environmental
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to Macroeconomics (high priority) Introduction to Microeconomics Basic Econometrics Intermediate Microeconomics Quantitative Analysis and Forecasting Big Data in Economics Please see the curriculum framework
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Applications are invited for a Postdoctoral Research Associate in transportation data science and statistical modelling, based in the Centre for Transport Engineering and Modelling (CTEM
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methods, and designing analysis plans) and managing their execution. This includes projects examining the effects of antipoverty policies on poverty and related outcomes in large U.S. household survey
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financial services. For more information about EPAR, please see: https://epar.evans.uw.edu/ This position is a combination of service and applied research and may include preparing confidential reports
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. Knowledge of sustainability reporting frameworks (TCFD, TNFD, etc.) is a plus. Methods: Strong quantitative skills (econometrics, panel/archival data, field or lab experiments, text analytics, use of AI
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graduate-level knowledge of spatial analysis, machine learning, large dataset management, and statistics or econometrics. Applicants must be proficient in R and/or Python. Advanced knowledge of R's and/or