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: Develop scientific research in advanced reactor physics modeling and simulation as well as cross section processing through novel methods and algorithm design. Contribute to new reactor physics and cross
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Engineering Division (CSED) at Oak Ridge National Laboratory. The candidate will be expected to contribute to the large scale simulations for electrochemical systems and development of numerical algorithms and
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the readout manufacturer to adapt and refine the high-speed readout electronics and synchronization system for efficient electron detection. Implement and test real-time processing algorithms for high
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. Familiarity with genetic algorithm and artificial neural networks. Experience in manufacturing process modeling of advanced manufacturing technologies. Experience with industry-standard tools such as SimaPro
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designing and assembling hardware and software systems for computer vision applications. Experience implementing or developing image segmentation algorithms in complex environments. Experience implementing
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PV inverters), synchronous generators, loads, etc. Develop simulation algorithms that enable large-scale simulations. Integrate (or co-simulate) grid component/device models into open-source software
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this role you will work on some of the most challenging scientific problems facing the Department of Energy, creating new algorithms, tools, and technologies to facilitate knowledge discovery. The rate of
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. Understanding of machine learning algorithms (gradient descent, random forests, etc.) and deep neural network architectures (ResNet and Transformers). A broad understanding of machine learning methodologies and
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the Department of Energy and the State of Tennessee. More About the Workflow Systems Group: The Workflow Systems Group researches and develops systems and algorithms to enable knowledge discovery from scientific
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-world solutions. The engineer will design algorithms, develop software, and integrate real-time and HPC sensing and communications systems. Major Duties/Responsibilities: Design and optimize signal