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health-related data, with a focus on longitudinal data analysis, population databases, and causal inference. Responsibilities Data Cleaning and Preparation: Clean, validate, and prepare datasets
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are to teach Introduction to business statistics – OSC 2030 on business statistics, including inference and regression analysis (in English). Applicants should hold a PhD in statistics, applied fields
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Essential Functions: Data management and curation. Writing and implementing bioinformatic pipelines. Processing genomic data. Phylogenetic and phylogeographic inference. Problem Solving: We seek a highly
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research, modern causal inference, clinical trial design, analysis of secondary data, machine learning and high dimensional data analysis, and applications of mixed effects models to health data. Support is