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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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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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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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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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technical risks and control recommendations to both technical and non-technical audiences. Ability to work independently, manage multiple priorities, and deliver high-quality results under minimal supervision
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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
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. Implement, adapt, and evaluate ML and NLP algorithms for scientific applications. Work in interdisciplinary teams with subject matter experts from various domain sciences. Communicate research progress