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technology, environmental sensing, and artificial intelligence. The position contributes to a funded project supported by the William Penn Foundation, which aims to model and mitigate environmental burdens
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are especially interested in researchers with experience in quantitative policy analysis using non-experimental methods (e.g. Differences in differences, comparative interrupted time series, regression
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to support all phases of the project including study design, data collection, data analysis, community engagement, dissemination, and manuscript preparation. The ideal candidate will have a strong background
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