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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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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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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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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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collaboration to develop software that integrates advanced algorithms into experimental workflows, implement services for experiment control, and deploy AI tools alongside large-scale scientific infrastructure
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senior ASIC designer for developing Monolithic Active Pixel Sensors (MAPS) - based Silicon Vertex and Tracking (SVT) detector technology for the collider experiments such as lepton-lepton Future Circular
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develop novel AI/ML algorithms and solutions. Disseminate research findings in publications, posters, project reports, presentations, and other related media. Work in interdisciplinary collaborations with
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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