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that enhance population health programs and clinical enterprise operations. Work with quantitative sciences and clinical faculty to evaluate predictive models and innovation pilots and help disseminate results
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success in identifying and implementing enterprise platforms, managing teams at various locations, and a proven track record of operational efficiency. Advanced analytics/predictive modeling literacy and
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using mathematical and statistical techniques, developing predictive models to forecast future outcomes, synthesizing data, and/or creating visualizations. Reporting to the Assistant Vice Provost
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models, simulation frameworks and predictive tools that inform geotechnical design. You will be expected to lead high-quality research programs, attract competitive funding, and translate outcomes through
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-making. Identify and pursue opportunities for performance improvement, cost reduction, and enhanced provider productivity. Oversee dashboards, key performance metrics, and predictive analytics initiatives
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of financial modeling and forecasting techniques with demonstrated ability to build robust models to accurately predict future performance, develop scenarios and stress-test assumptions, and provide insights
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Project Officer (Civil Engineering/Materials Science/Mechanical Engineering/Construction Technology)
, mechanical testing, mix design preparation). Familiarity with AI or data-driven tools, such as: machine learning for prediction/modelling, data analytics for material/printing optimisation, or AI-assisted
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translational research. Machine Learning, Statistical Modeling & Informatics Research Apply ML/AI approaches for pathogenicity prediction, phenotype clustering, or multimodal data modeling. Support translational
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analytics/radiomics; mobile health, digital phenotyping; EHR analytics, survival and longitudinal analysis, risk prediction; comparative effectiveness, policy modeling; biomarkers, diagnostics, precision
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relevant to data science including data visualization, multivariate statistics, time series analysis, predictive modeling and machine learning. Considerations: Exceptions to standard rates may apply