13 electrical-engineering positions at Brookhaven National Laboratory in United States
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participates in DOE level cryogenic reviews. This effort is supported by a large C-AD Cryogenics Group staff which includes plant process, mechanical, electrical, and controls engineers, as well as mechanical
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of the US Nuclear Data Program (USNDP), whose mission is to provide current, accurate, authoritative data for workers in pure and applied areas of nuclear science and engineering. This is accomplished
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expertise in radiological engineering and nuclear materials management. The Instrumentation and Calibration Group Leader manages the Laboratory's radiological instrumentation and calibration program, serving
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(EIC) directorate has an opening in the RF Group for a Senior SRF Engineer with experience in surface processing and clean assembly of SRF cavities and equipment. In this role, you will oversee and
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to current information, all of which are critical to successful project execution. Essential Duties and Responsibilities: Act as a point of contact for document control questions from project staff Provide
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The Facilities & Operations (F&O) Directorate supports Brookhaven National Laboratory's (BNL) science, technology, and environmental restoration missions by delivering safe, environmentally sound, and reliable
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Abilities: * You have a Ph.D. in a relevant discipline (Materials Science, Physics, Electrical Engineering, or a related engineering discipline), conferred within the past five years or to be completed prior
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information at BNL | Benefits Program Organization Overview The Energy & Utilities Division within Brookhaven National Laboratory's Facilities & Operations Directorate operates and maintains the Lab's electric
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information at BNL | Benefits Program The Facilities & Operations (F&O) Directorate supports Brookhaven National Laboratory's (BNL) science, technology, and environmental restoration missions by delivering safe
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workflows as extension to current beamline data analysis routine. Collaborate closely with beamline scientists, computational researchers, chemist and multi-institutional users to implement ML-assisted XAS