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the application materials Required Qualifications PhD with expertise in statistics. Experience with data management, cleaning, and data analyses. Preferred Qualifications Knowledge and experience in supporting
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Chekouo and his collaborators within and outside the University of Minnesota. The research will focus on the development of Bayesian statistical/machine learning methods for the data integration analysis
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detection/removal, feature extraction, and statistical analyses. Scholarly and Grant Support-10% ●Contribute to the preparation of grant proposals, progress reports, and other sponsored project documentation
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inference, bias mitigation, and statistical modelling. Expertise across diverse epidemiologic methods and content areas is welcomed. Develop a research program that incorporates rigorous epidemiologic methods
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Prior experience managing and analyzing large clinical datasets Expertise in statistical analysis and causal inference, such as multivariable and generalized linear modeling, propensity score-based
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of academic calendars, course schedules and procedures. Analyzes statistical data on registration for administrative use in formulating policies. Interprets registration policies for faculty and students
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: This position is not eligible for H-1B visa sponsorship. Qualifications Required Qualifications: A PhD in Epidemiology, Biostatistics, Statistics, or a related field Effective R programming skills Previous
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research, prospective trials including randomized clinical trials, and database research. In addition, some experience with data analysis and statistical software (SPSS, STATA, etc.) is preferred
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or outside the University of Minnesota. The research will focus on applying, developing and implementing novel statistical and computational methods for integrative data analysis, causal inference, and machine
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visa and are present in the United States. Qualifications Required qualifications A PhD degree in Engineering, Business, Statistics, Mathematics, or other related discipline. Strong written and verbal