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in modeling, analysis and control of electric power distribution and transmission system, applying state of the art machine learning (ML) and deep learning algorithms to develop cybersecurity
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expected to effectively communicate their results and insights to both scientific peers and broader audiences. Furthermore, maintaining awareness of state-of-the-art techniques and expertise within related
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practical computational experience Knowledge of thermochemistry and state-of-the-art composite electronic structure computational approaches Considerable knowledge of gas-phase chemical physics, chemical
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related field Knowledge of interfacial science and crystallography Considerable experience in synchrotron X-ray scattering experiments and the state-of-the-art microscopies (such as atomic force or electron
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candidate will have the opportunity to develop, use, and deploy state-of-the-art tools on the largest supercomputers used for scientific computing. The work is part of a larger collaboration between Argonne
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of Hydrology, Environmental Science Division. The Postdoctoral Appointee will work toward advancing state-of-the art physics-informed artificial intelligence and machine learning (AI/ML) models to improve
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modeling at the Department of Hydrology, Environmental Science Division. The Postdoctoral Appointee will work toward advancing state-of-the art hydrodynamic modeling. As such, you will build high resolution
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other alloys under low temperatures using electricity and reducing the carbon fingerprint. The Postdoc will have the rare opportunity to use and deploy state-of-the-art tools for the largest computers
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. The Postdoctoral Appointee will be working toward advancing the state-of-the art in developing AI/ML models for addressing hydrological predictions for stream flow rates and pooling depths at local scales. You can
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, nanophotonics, and cavity quantum electrodynamics are highly encouraged to apply. The selected individual will have access to state-of-the-art research facilities and gain in-depth knowledge of the research