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-on training in quantitative policy research in economics. You will gain experience in: Working with large-scale and high-dimensional datasets Data construction, including web scraping Spatial analysis (e.g
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they contribute to long-run political realignment. The predoctoral researcher will assist with data collection, cleaning, and analysis, as well as background work such as literature reviews, qualitative case study
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with analyzing neural data will find this position particularly valuable. The predoc will help with participant scheduling, data analysis, scanning, and clinical interviewing. The predoc will also help
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homelessness that must first be filled before a credible policy engine can be built. The predoc will be tasked with programming and statistical analysis of linked administrative data on homelessness (drawing
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empirical research (e.g., Python, R, Stata, Julia, or MATLAB) is required. Familiarity with SQL, cloud computing, or text analysis is helpful but not required. If you believe that this opportunity is a match