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manufacturing systems to enable simulation-assisted process monitoring and control Support research on advanced composite manufacturing processes such as thermoforming, compression molding, injection molding, and
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include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a travel allowance and access to advanced
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to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a
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emphasis on controlling coherent spin-spin interactions. In addition, the ideal candidate will develop new quantum sensing protocols leveraging coherent spin dynamics in high-field and low
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challenges facing the nation. We are seeking a Postdoctoral Research Associate who will support the Quantum Sensing and Computing Group in the Computational Science and Engineering Division (CSED), Computing
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Requisition Id 15983 Overview: We are seeking an R&D Associate who will focus on developing and applying advanced signal processing, wireless communications, and AI techniques to RF sensing, drone
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challenges facing the nation. We are seeking a Postdoctoral Research Associate who will support the Quantum Sensing and Computing Group in the Computational Science and Engineering Division (CSED), Computing
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multiple types of sensing modalities, where this expertise is applied to solve critical national problems in energy and security. Demonstrated knowledge of emerging AI and machine learning techniques as
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for additive manufacturing (AM). The candidate will aid staff in conducting high quality research by developing, integrating, and deploying advanced sensing modalities (e.g., thermal, optical, acoustic, etc
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, remote sensing products, model simulations) to inform model development, calibration, and validation. Collaborate with a multidisciplinary team of hydrologists, Earth system scientists, and computational