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the research. Potential topics include causal effect estimation, mediation analysis, longitudinal or observational data structures, policy learning, and methods for informative censoring and missing data
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advanced quantitative analyses Develop codebooks, indicator lists, and conduct mixed methods analyses. Lead and co-author manuscripts for peer-reviewed publication. Prepare data reports, data presentations
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contribute to the excellence of our academic community. We are looking for a postdoctoral researcher with expertise in Bayesian hierarchical spatio-temporal statistics and measurement error methods for a 3
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statistical and deep learning-based methods; * Construct AI-driven models for mosquito habitat mapping, integrating diverse climate change scenarios to enhance predictive accuracy and future forecasting
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of national influenza and COVID-19 surveillance data, developing and applying improved statistical methods for vaccine effectiveness studies. Lead analytical projects with partners across Emory’s infectious
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during the first three years of life. His research group uses mixed-methods, with a focus on applied research to improve the implementation, quality, and effectiveness of parenting interventions
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, or related field - Expertise in advanced quantitative/statistical methods (e.g., generative computational modeling, multilevel and/or structural equation modeling, univariate and/or multivariate fMRI