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at the University of Rhode Island. URI has dedicated significant expertise and resources to develop a suite of tools, including the Coastal Hazards Analysis, Modeling and Prediction system (CHAMP), STORMTOOLS, and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
. Efforts will focus on implementing predictive and analytic models of infectious disease, deploying these models in response to disease threats, and implementing accessible data displays on web-based
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Modeling: Build data-mining capacity and create advanced predictive models (using proprietary and commercial datasets) to inform prospect scoring, constituent demographics, psychographics, and engagement
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methodological rigor in the development and validation of predictive models. III. Work Plan: 1) Systematic review of the state of the art on forecasting reduced visibility, fog, mist, low clouds, and applications
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logistic regression, Poisson regression, Cox proportional hazards models, Kaplan-Meier analyses, generalised estimating equations and diagnostic prediction analyses. § Interpret findings within the context
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line with relevant standards Computational optimization of developed tools for commercial integration Integration of surgical complexity predictions Interacting with clinical and industrial partners
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want to be part of a team that drives meaningful impact, we’d love to hear from you! Join us and be a part of shaping the future of finance at NUS! Website: https://www.nus.edu.sg/finance/ What You Will
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and integration of multimodal neuroimaging, behavioral and clinical data, and building large-scale deep learning models for multimodal neuroimaging datasets to construct predictive network models in
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monitoring, predictive analytics, early diagnosis, and personalized interventions across human, animal, and environmental health systems; Lead interdisciplinary collaboration between AI experts, healthcare
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for individuals, organizations or society. You will be part of the SAIL research group, whose research activities focus on AI-based modeling of complex systems, uncertainty management in deep learning, visual