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for transmission or distribution grids, synchronous generators, large loads, transmission networks, etc. Develop simulation algorithms that enable large-scale simulations. Integrate (or co-simulate) grid component
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, statistical, probabilistic, or algorithmic solutions to real world problems in the healthcare and biomedical research. As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has
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-processing, information extraction, and post-processing using existing SDR frameworks and algorithms Rapidly prototype SDR signal chains and systems through design, programming, hardware integration, testing
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, and performance reports for responsible projects. Develop control algorithms for actuating and controlling mechanical systems. Accountable for compliance with environment, safety, health, and quality in
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and resilience across heterogeneous computational resources while addressing workflow requirements for scientific applications. Validate distributed intelligence algorithms at scale on ORNL's
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power electronics resources modeling, explore different intelligence algorithms to enhance ease of usage of simulations, and different applications of EMT simulations. Selection will be based
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. Collaborate with multidisciplinary engineering teams to integrate control algorithms, sensor feedback, and human-machine interfaces. Conduct risk assessments and safety analyses for manipulator designs
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. Collaborate with multidisciplinary engineering teams to integrate control algorithms, sensor feedback, and human-machine interfaces. Conduct risk assessments and safety analyses for manipulator designs
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computed tomography (CT) reconstruction, including sparse-view and limited-angle algorithms, and the application of advanced machine learning (ML) and computational imaging methods to scientific and
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workflows that support reuse, reproducibility, and long-term value of research data for downstream analytics, modeling, algorithm development, and emerging data-driven methods. Contribute to R&D and mission