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for Accelerated Nanomaterial Discovery, integrating synthesis, advanced characterization, physical modeling, and computer science to iteratively explore a wide range of material parameters. The CFN develops and
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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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; - a technical institute, Adult BOCES certification, AA degree in a technical field, CCI program completion at BNL plus 8 years experience or; - a technical high school certification program (eg. BOCES
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sciences, and nanoscience. To support this program, the NSLS-II must design, fabricate, assemble, test, install, and operate unique research equipment to generate, transport, transfer, accelerate and focus
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wide range of Cyber Security-related tools and technologies. Required Knowledge, Skills, and Abilities: Bachelor's degree in computer science or related discipline or equivalency (2 years’ experience
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; - a technical institute, Adult BOCES certification, AA degree in a technical field, CCI program completion at BNL plus 12 years’ experience or; - a technical high school certification program (eg. BOCES
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. The program involves close collaborations with experts in theory and data science and will benefit from frequent interactions with principal investigators at the National Synchrotron Light Source II (NSLS-II
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learning field. Excellent programming and computer science skills. Preferred Knowledge, Skills, And Abilities Practical experience developing novel ML, LLM, or CV algorithms and models. Experience with state
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mathematics, statistics). Solid programming skills and computer science knowledge. Familiar with deep learning libraries. Research experience and good publication track record in machine learning field
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programming. • Good written and oral communication skills, be willing to take direction, and be able to work with others as part of a project team. Preferred Knowledge, Skills, and Abilities: • Experience