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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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computing resources. The MMD group is responsible for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part
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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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to develop AI-enabled, low-latency signal-processing algorithms for next-generation pixel detectors used in high-energy physics experiments. This position offers the opportunity to engage in cutting-edge
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algorithms and analytics for materials and related physical sciences for a broad range of energy, transportation, and advanced manufacturing applications. The MsM group also develops artificial intelligence
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length scales Develop machine learning algorithms to support process optimization, predictive modeling, and intelligent manufacturing control Integrate simulation tools with in-situ sensor data from
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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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, 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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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
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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