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electromagnetic transient (EMT) simulations, high-fidelity dynamic and transient power electronics resources modeling, explore different intelligence algorithms to enhance ease of usage of simulations, and
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scientific capability, focusing on the co-evolution of algorithms, models, data, and computing architectures. Establish R&D priorities across: AI foundation models trained on scientific and simulation data
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in advanced machine learning algorithms. This position resides in the Manufacturing Systems Analytics (MSA) Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate
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signature recognition and classification algorithms. Experience with Computational Imaging and Image Reconstruction techniques. This position requires the ability to obtain and maintain a Sensitive
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Requisition Id 16218 Overview: The Multiscale Biomedical Systems Group within the Advanced Computing in Health (ACH) section of the Computational Sciences and Engineering Division (CSED) at Oak
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dynamic testing acquisition software (m+p, Dewesoft, VTI, HBK, Crystal Instruments, Vibration Research, and other related packages). Strong computational skills with the development and evaluation of signal
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development of novel AI algorithms, it does require strong implementation skills, sound statistical judgment, and an ability to translate methods into reliable, maintainable, and well-documented pipelines