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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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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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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
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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
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work closely with CFN Electron Microscopy group members and computer scientists at Brookhaven. You will be professionally mentored by Dr. Judith Yang and Dr. Sooyeon Hwang and receive guidance from Prof
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with a highly competitive salary. Essential Duties and Responsibilities: Conduct research and develop novel AI/ML algorithms and solutions. Disseminate research findings in publications, posters, project
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, and evaluate ML and NLP algorithms for scientific and security applications. Work in interdisciplinary collaborations with subject matter experts from a variety of domain sciences and security areas