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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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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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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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of the Electron Microscopy group and closely collaborate with the Computational group. You will learn and develop advanced machine-learning algorithms for TEM image analysis with guidance from
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measurements utilizing a variety of computing platforms and architectures. The successful candidate will bring their physics expertise and learn from a team of world-leading HEP-software experts and extreme
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distribution. The candidate is expected to incorporate the latest machine-learning methods for increasing measurement and analysis throughput. In order to achieve this goal, the candidate is expected
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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