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of the ATF to steward its unique science and technology user program. The AFD Director will directly support the Chair of the Accelerator Science and Technology (AS&T) Department to provide scientific
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choices Contribute to technical documentation and present results at internal reviews and conferences Required Knowledge, Skills, and Abilities: PhD in Physics, Accelerator Physics, Nuclear Engineering, or
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a relevant field (business, computer technology, or database management) may offset qualifying experience, as would an associate’s degree (2:1 basis (college:experience). Must possess strong
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applies platforms for state-of-the-art techniques for Accelerated Nanomaterial Discovery, integrating synthesis, advanced characterization, physical modeling, and computer science to iteratively explore a
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: Ph. D in physical chemistry or a related field and 4+ years of post-PhD relevant experience. Experience in radiation chemistry, photochemistry and familiarity with electron transfer theory
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Apply Now Job ID JR101405Date posted 09/12/2024 The Machine Learning Group of the Computational Science Initiative (CSI) at Brookhaven National Laboratory (BNL) invites exceptional candidates
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with commonly used tools such as OPAL-RT/RTDS, PSS/E, PSCAD, EXata. • Knowledge of cybersecurity of industrial control systems and/or quantum computing. Additional Information: Candidates must have
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out R&D programs focused on Electro-Photonics, Quantum Information Science, Artificial Intelligence & Machine Learning, and Neuromorphic Processing that require ASICs with specific layouts
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investigators. Position Requirements Ph. D. in theoretical or physical chemistry, or a related field Extensive experience in one or more of the following areas: Computational modeling of homogeneous
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to remove legacy items from EBNN Areas. Following BNL processes, properly dispose of research material and equipment (glass containers, tools, instrumentation, computers, carts, gas cylinders, lecture bottles