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for a student assistant position in Artificial Intelligence (AI). This position offers a unique opportunity to conduct both basic and applied research in concert with collaborators working on diverse
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understanding of artificial intelligence (AI) and condensed matter physics. ·Strong programming skills, particularly in scientific computing and machine learning. Preferred Knowledge, Skills, and Abilities
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physics. Participation in detector research and development, especially for low-latency event selection in trigger systems. Development of new artificial-intelligence and machine-learning techniques
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physics. Development of new artificial-intelligence and machine-learning techniques for high-energy and nuclear physics. Close interaction with our collaborators in the EIC and the BNL theory group will be
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world-class program that advances the state of the art in artificial intelligence, high performance computing, applied mathematics, computer and computational sciences. BNL's distinctive domain science
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mission for the U.S Department of Energy's Office of Science through the study of nuclear and particle physics, energy and environmental sciences, quantum information science, and artificial intelligence
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in real-world environments. Position Description: The CFN is seeking an exceptional researcher to pursue frontier research in artificial intelligence and machine learning (AI/ML) to advance scientific
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control under high inverter-based resources (IBRs). • Develop and apply artificial intelligence (AI)/machine learning (ML) techniques for power system planning, operation, control, and cybersecurity
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candidate will work collaboratively with a team of scientists from the Artificial Photosynthesis (AP) and Catalysis: Reactivity and Structure (CRS) groups and will be supervised by CHASE principal