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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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scalable and real-time inference. Explainability and interoperability: Design and implement methods to make deep learning models more interpretable and explainable to clinicians and other stakeholders
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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
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Bayesian methods. Perform data analyst functions that generate knowledge via data mining, visualization or other analytics. Serve as a resource to others performing this work. Reviews data for discrepancies