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Field
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Informatics (BIOS), faculty, postdoctoral fellows, and students in the department apply analytic methods, statistical reasoning and information management techniques to the design and analysis of studies in
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clinical translation. Our work is supported by multiple NIH grants, including funding from NIAMS, the NIH AMP-AIM Team Science Leadership Scholars Program, and the Office of Research on Women’s Health, as
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, includingqualitative and quantitative methods, surveys, interviews, and focus groups. Analyze data usingappropriate statistical or thematic analysis methods. Dissemination of Findings: Present research findings
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to work with and develop state-of-the-art statistical and mathematical methodology to improve understanding of epidemic dynamics and control. Recruited postdocs will work on one of the new projects starting
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, is seeking highly motivated candidates for multiple postdoctoral positions. We are specifically looking for candidates who possess a strong background in theoretical and computational modeling
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electronic health records (EHRs) from multiple UK hospital centres using advanced data analytics including machine learning, deep learning, and statistical techniques—with a particular emphasis on deep
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wide range of resources and is mostly not publicly available. While sharing proprietary data to train machine learning models is not an option, training models on multiple distributed data sources
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of statistical software. Excellent interpersonal, written, and verbal skills. Ability to assist with research with a high degree complexity Ability to effectively handle multiple, complex issues effectively and in
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interdisciplinary research by bringing together its core faculty in computer science, statistics, and engineering with scholars from management, law, and social sciences. Together, they work to understand, model, and
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grants directed toward ultimate publication Assist Principal Investigator (PI) in conducting research projects Collect data Run statistical analyses for the research project, write results, and present in