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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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interfaces, and condensation surfaces under varied operating scenarios. Develop and refine performance simulation models and predictive tools to support system optimization and deployment strategies. Prepare
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. The scholar will analyze VA data, construct machine learning models (including but not limited to interpretable models) focusing on clinical outcome prediction, develop manuscripts to submit to leading journals
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
of excellence for outbreak analytics and disease modeling, named Insight Net. This position’s efforts will focus on developing predictive and analytic models of infectious disease and will use dynamic models and
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; Assess the effects of organo-mineral management on soil biological parameters, including soil fauna; Predict the dynamic of OM in the future global climate change by using Soil Organic Models. Mentor
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baseline predictive models, and create reproducible pipelines with documentation and version control. Develop a plan for cross-disciplinary collaborations and a personal research portfolio. Year 2: Improve
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biological samples. By controlling the physical interface between biology and measurement, we aim to generate structured, high-quality datasets that enable rigorous quantitative analysis and predictive