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Machine Learning in particular. Candidates with research interests in the analysis of complex, dependent high dimensional data and the use of graph theory and combinatorics for high dimensional statistical
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, graduate, and doctoral levels. Courses may cover fundamental principles of epidemiology, advanced epidemiological methods, statistical analysis, and specialized topics related to the candidate’s expertise
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, and methods to enhance the learning process and transfer of knowledge. Duties & Responsibilities Responsible for end-to-end delivery of learning projects from initial needs analysis through post launch
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has a strong PhD program in Applied Mathematics, Applied Statistics, Graph Theory/Combinatorics, and Analysis, featuring active research collaborations both within the University and with external