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Field
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algorithms to develop cybersecurity, optimization, and control solutions for real-world grid applications. Candidates will be required to work in at least 4 of the following areas: Build, simulate, and
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, especially the toroidal spectrometer, construction and commissioning of the MOLLER detector at Jefferson Lab ● Development of the SOLID software framework, tracking algorithms, DAQ subsystem and various
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in the design, implementation, and maintenance of data pipelines and leading/assisting in building algorithms for deep learning with close collaboration from the study team. While programming
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leveraging advanced computational methods to address critical questions in pandemic prediction and prevention. Key Responsibilities: - Develop and apply modern machine learning algorithms and computational
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sensor networks, robotics, energy, and Smart Cities • Network systems and economics, cooperative control and optimization, game theory • Distributed algorithms for decision making • Machine learning and
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Description NREL is seeking a postdoc to design, train, and analyze the AI/ML and control algorithms for hybrid energy systems including industrial systems, building controls, and advanced energy systems
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computational models and systems using algorithms and analytics for materials and related physical sciences for a broad range of energy, transportation, and advanced manufacturing applications. Major Duties
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systems. Includes establishing medical reasoning benchmarks and automated / scalable evaluation methods. Developing recommender algorithms to predict specialty care with large-language model based user
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algorithms for advanced and multi-modality imaging. Work on system designs, physics models, computation, benchtop experiments with small animals, and clinical translation. Additional areas of interest are in
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position to develop and apply advanced analysis methods, including artificial intelligence and machine learning algorithms and approaches, for x-ray science and instruments. These methods will accelerate