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Duties/Responsibilities: Participate in new and ongoing research in experimental photonic quantum sensing and computing, including optomechanical sensors and transducers, generation and characterization
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manufacturing datasets, including sensor streams, in-process signals, post-process characterization data, simulation outputs, and digital twin data. Develop, integrate, and evaluate AI/ML models for anomaly
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experience. Hands-on experience with engineering measurements, sensors, data acquisition, data logging, instrument setup, calibration practices, and troubleshooting in laboratory, industrial, commercial
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manufacturing datasets, including sensor streams, in-process signals, post-process characterization data, simulation outputs, and digital twin data. Design and implement scalable data engineering pipelines
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of computational tools and code development, nuclear sensors and instrumentation, neutronics, thermal hydraulics, criticality safety, and nuclear data. The incumbent will be responsible for developing and executing