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data Clear scientific writing and communication; a track record of publications Experience with causal inference Bonus: experience with explainable ML, optimization/decision strategies, or work with EHR
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data Clear scientific writing and communication; a track record of publications Experience with causal inference Bonus: experience with explainable ML, optimization/decision strategies, or work with EHR
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recruit and supporting the academic career development of postdoctoral fellows. As part of this program MCHB and HSPH are committed to establish a tenure track position in MCH during the 5-year funding
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. As part of this program MCHB and HSPH are committed to establish a tenure track position in MCH during the 5-year funding period. Possible mentors include Drs. David Williams and Margaret McConnell
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recruit and supporting the academic career development of postdoctoral fellows. As part of this program MCHB and HSPH are committed to establish a tenure track position in MCH during the 5-year funding
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Requirements Strong computing and strong background/expertise in clustered data, survival data, causal inference or measurement error are desired. Strong written communications Additional Information: Per
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approaches may include—but are not limited to—causal inference, spatial analysis, computational text analysis, and archival or ethnographic research. Postdoctoral candidates with relevant research interests
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, computer science, economics, or a related quantitative field Strong skills in R and/or Python and experience analyzing complex data Clear scientific writing and communication; a track record of publications
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with expertise in causal inference, econometrics, experimental design, industrial organization, or applied microeconomics. Experience with field experiments, quasi-experimental methods, and/or structural
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to high-dimensional and multi-modal biomedical data. Causal Inference, Fairness, and Trustworthy AI in real-world healthcare applications. Our group actively collaborates with large national and