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Apply Now Job ID JR100614Date posted 10/12/2023 The Machine Learning Group of the Computational Science Initiative (CSI) at Brookhaven National Laboratory (BNL) invites exceptional candidates
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The Machine Learning Group of the Computational Science Initiative (CSI) at Brookhaven National Laboratory (BNL) invites exceptional candidates to apply for a post-doctoral research associate
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learning and its applications in nuclear engineering, national security, nuclear safeguards, or relevant fields. The successful candidate will participate in ongoing research in machine learning
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quantification. You will research and develop frontier analysis methods, including machine-learning approaches, for the accelerated interpretation of x-ray scattering data. You will develop multi-modal data
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. Perform research on power system dynamics and control under high inverter-based resources (IBRs). Develop and apply artificial intelligence (AI)/machine learning (ML) techniques for power system planning
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to apply for a postdoctoral research associate position in applied mathematics, scientific computing, and machine learning. This position offers a unique opportunity to conduct research in emerging
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other advanced STEM techniques, such as 4D-STEM, as applied to amorphous materials. You have familiarity with artificial intelligence (AI) and machine learning (ML) methodologies and interested in
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to apply for a postdoctoral research associate position in applied mathematics, scientific computing, and machine learning. This position offers a unique opportunity to conduct research in emerging
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electron microscopy (TEM). In this position, you will be a member of the Electron Microscopy group and closely collaborate with the Computational group. You will learn and develop advanced machine-learning
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finishing high-curvature X-ray mirrors. o Enhance the determinism (predictability) of the IBF process by leveraging artificial intelligence or machine learning (AI/ML). • Publish results in peer-reviewed