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descriptive, longitudinal, and regression analyses to assess associations between reproductive and cardiovascular health outcomes. o Apply causal inference methods and, where applicable, machine learning
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descriptive, longitudinal, and regression analyses to assess associations between reproductive and cardiovascular health outcomes. o Apply causal inference methods and, where applicable, machine learning
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traditional and digital publishing technologies to produce communications that implement project objectives. Learn more about the great benefits of working for University of Utah: benefits.utah.edu
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- Career, P2 - Developing FLSA Code Computer Employee Patient Sensitive Job Code? No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary Full-time, 40 hours per week
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Computer Employee Patient Sensitive Job Code? No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary Full-time, 40 hours per week. Monday – Friday from 8:00 am to 5
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in the disposition of the surplus property and or completion of computer records or files involved in the disposition of surplus property. Inspect and drive trucks and a forklift. CDL not required
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in the disposition of the surplus property and or completion of computer records or files involved in the disposition of surplus property. Inspect and drive trucks and a forklift. CDL not required
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data mining, player modeling, user experience design in games, adaptive and personalized gameplay, player engagement, predictive modeling of player behavior, and applications of machine learning and AI
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for career-line, lecturing positions should hold a terminal degree in a games-related field (e.g., Ph.D. in Computer Science, MFA in Art). Successful candidates are expected to teach in-person courses across
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ready platforms with topics such as: data discovery, data & memory management, heterogeneous data integration, multi-modal machine learning, high performance computing (HPC), cyberinfrastructure, edge