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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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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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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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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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specified by the Principal Investigator. Postdoctoral position in computational modeling of anxious avoidance at the Computational Mechanisms of Psychopathology Lab at Emory University (PI: Vanessa Brown, PhD
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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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join our multi-disciplinary team of researchers, including immunologists, PhD students, physician-scientists, and bioinformaticians. The postdoctoral fellow will work in an NIH-funded laboratory and will
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landscape. Candidates must be highly motivated, well organized, technically proficient, critically minded, and able to work independently but collaboratively with others. Candidates must possess a PhD, MD, or
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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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a PhD in a relevant field by their intended fellowship start date. Preference will be given to early-career applicants, who will have received their PhD less than one year prior to their start date