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machine learning. Essential Duties and Responsibilities: Develop and implement advanced reconstruction algorithms for correlated and low-dose imaging modalities. Maintain and extend Python-based software
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• Experience related to electronic controls for any of the following: motion / motors temperature controllers / sensors cryogenic or water-cooling systems vacuum / UHV systems low/high pressure gas systems
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software Replace faulty components (e.g., contractors, capacitors, sensors) Monitor System Performance Check air flow, temperature splits, and system efficiency Log system pressures, amperage, and voltages
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Demonstrated research experience in computational physics, machine learning, or related areas. Practical experience in developing novel AI/ML models and algorithms. Experience collaborating in multidisciplinary
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interaction physics, precision calculations of (g-2) and PDF determinations, and the development of new algorithms, among others. Position Description The successful candidate will be expected to conduct
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to conduct interdisciplinary collaborative research in BNL programs with a highly competitive salary. Essential Duties and Responsibilities: Conduct research and develop novel AI/ML algorithms and
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installations and repairs. Calibrate control system components (e.g., sensors, transducers, actuators), and support vendors when brought on site for system calibrations. Trouble shoot network communication issues
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will be part of a team that already uses machine learning to improve online accelerator models and that develops correction algorithms for accelerator operations. This position is for a 2-year research
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Architectures and Algorithms, Extreme Scalability, Knowledge Discovery, Cybersecurity, and Energy. Work with the Laboratory Director and Leadership Team to identify and implement strategic research opportunities