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supercomputer, the world's first exascale computing system. This is a unique opportunity to engage in transformational research that advances the development of AI-ready scientific data, optimized workflows, and
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Scientific Computing: Design and analyze quantum algorithms for optimization, combinatorial search, differential equations, scientific simulation, and other computational challenges arising in engineering
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 7 days ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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for scientific computing and high-performance computing environments. Develop and evaluate optimization techniques for machine learning workflows, including approaches for model tuning, automated model design, and
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the development and optimization of products for a variety of industries from automotive to aerospace made from new bio- and waste-derived plastic resins and fillers. The ideal candidate for this role would be
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optimization and consensus algorithms. Knowledge of large models and hyper-parameter optimization. Knowledge of high-performance computing and its applications. An excellent record of productive and creative
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. The project will involve drone optimizations, computer vision, closed-loop control, multi-modal sensor fusion, machine learning, and transfer learning methods. The candidate will also work in collaboration with
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optimization of advanced energy storage systems utilizing coal-derived and other carbon materials as battery electrodes. The successful candidate will conduct experimental research spanning materials development
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responsible for chemical synthesis and design of molecules intended to be studied for biological use. This requires an ability to review the literature to optimize protocols, to carry out experiments
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developing, optimizing, or troubleshooting complex experimental or computational workflows. Experience working in a collaborative or multidisciplinary research setting. Experience mentoring or training