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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
: Expertise in rare event simulation, deep learning, and developing computationally efficient approaches for simulation and modeling in complex systems is highly desirable Experience with parallel computing
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 10 days ago
is reproduced in the NASA Ames Electric Arc Shock Tube (EAST) facility, and is used to test models developed to predict the heating mechanisms. The primary models employed are the DPLR computational
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, Synopsys/Ansys, Siemens). Willingness to work on cross-stack optimizations and learn new skills. Preferred Qualifications Experience with multi-physics simulations for thermal, mechanical, and reliability
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and co-design adaptive strategies with stakeholders and communities across Texas. The solutions we develop will have applications extending far beyond our region, serving as a model for communities
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machine learning models, natural language processing (NLP), and ontology-based frameworks to enhance simulation, curriculum development, and personalized learning in health professions education. Develop
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conditions related to aging. Specifically, this project will design models to develop biomarkers—particularly those related to blood vessels—to forecast clinical outcomes. This project will leverage unique
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Sciences, Atmospheric Sciences, Geological Sciences Experience analyzing satellite data and model output (e.g., Landsat, Sentinel, MODIS). Experience processing satellite data in cloud computing environments
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. The selected candidate is expected to have expertise in one or more of the following areas: modeling contaminant flow and transport at various geospatial scales, process-based modeling of soil organic matter
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well as the residency programs and clinical training of Humanitas University, an international Medical School that stands out for its real-world simulation-based approach to medical training. Humanitas Research is made
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stability assessment methodologies to real-world wind power plants (WPPs). Work with black-box models from OEMs to develop techniques that rely on limited time-domain simulations. Disseminate research