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on research projects involving machine learning and artificial intelligence with application to electronic health data. The Assistant Professor is expected to be able to perform overseeing data engineering of
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experience may substitute for degree requirement. Two years of relevant experience. Department - Specific Requirements SQL and R programming. Machine Learning and NLP. Preferred Qualifications and Skills
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clinical researchers, physicians, and engineering teams to design, build, and deploy machine learning models for healthcare applications. Develop AI-powered solutions spanning genomics analysis, EHR data
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Latent Factor Modeling, (4) Multilevel-Structural Equation Modeling (MSEM), (5) Time Series analyses to identify trends, cycles, and patterns, and (6) Artificial Intelligence/Machine learning (AI/ML
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; multi-level regression, semi-parametric models, latent variable modeling, and machine learning methods. Ability to use different software to address the increasing complexity of health-related data