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. Design, implement, and experimentally validate advanced learning and control strategies for power electronic converters and grid-interactive systems. Develop embedded control algorithms using DSP, FPGA
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and controls, automation, and/or robotics Demonstrated experience in developing and implementing advanced controls and sensing algorithms Demonstrated ability to work both individually and as part of a
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, and fuel cycle applications through leadership in the development and analysis of SCALE and/or the Virtual Environment for Reactor Applications (VERA) simulations and in collaboration with industry
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. Previous experience with the development and implement numerical algorithms in advanced modeling and simulation software related to reactor physics analysis an asset Knowledge of software engineering best
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, developing, porting, and scaling applications and algorithms for NCCS computers, tuning applications for high performance, and scheduling applications to execute at scale to meet the scientific capability
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Requisition Id 17101 Overview: The Oak Ridge National Laboratory (ORNL) conducts research, development, and deployment of radar and optics technologies to address national security and other
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existing imaging and sensing systems Develop new sensing techniques and technologies Calibrate sensors and ensure data integrity for use in machine learning algorithms Support R&D projects for the MSA Group
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existing imaging and sensing systems Develop new sensing techniques and technologies Calibrate sensors and ensure data integrity for use in machine learning algorithms Support R&D projects for the MSA Group
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existing imaging and sensing systems Develop new sensing techniques and technologies Calibrate sensors and ensure data integrity for use in machine learning algorithms Support R&D projects for the MSA Group
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collaborators on some or all of the following tasks: developing quantum algorithms for simulation of quantum spin systems; programming such algorithms in an emerging cohesive software ecosystem; benchmarking