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methods with optimization and decision-support models. Background in one or more of the following: time-series analysis, neural networks, forecasting, uncertainty quantification, sensitivity analysis
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frameworks linking molecular interactions to cellular and network-level behavior (e.g. protein-protein interaction, PPI, network analysis) Optimize simulation codes and workflows for leadership-class HPC
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-layer (i.e., large aspect ratio) meshing capabilities. Additional application methods of interest include adaptive meshing for design/shape optimization as well as solution optimization. In
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) Experience working across the XR system stack, including lower-level components such as sensing, networking, systems optimization, or edge/cloud integration Experience incorporating machine learning
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 3 hours ago
comprehensive analysis simulations using CAMRAD II at Mars aerodynamic conditions Post-processing and analysis of DNS, CFD, or comprehensive analysis datasets Geometry creation and mesh generation for simulations
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours ago
entanglement on a robust, chip-scale architecture. 2. Background and Relevance to NASA This research directly supports NASA’s mission to develop disruptive technologies for the Integrated Network (IN) and
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the interactions among urban infrastructure and environment networks. This opportunity will have the ability to develop complex systems analytics models, optimization methods, and computational tools for real-world
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, and cyber-resilient operation of distribution systems and networked microgrids. The successful candidate will contribute primarily to the control and cybersecurity thrusts of a multi-institutional
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conduct collaborative research between the Center on Stochastic Modeling, Optimization, & Statistics (COSMOS, https://cosmos.uta.edu/ ) and the Department of Chemistry and Biochemistry (CHEM) on the topic
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researcher will conduct collaborative research between the Center on Stochastic Modeling, Optimization, & Statistics (COSMOS, https://cosmos.uta.edu/ ) and the Department of Chemistry and Biochemistry (CHEM