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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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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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seminars and colloquia Participate in conferences and workshops, regular group meetings, and assist with notetaking Required Knowledge, Skills, and Abilities: PhD degree in meteorology, atmospheric sciences
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artificial intelligence (AI) and machine learning (ML) methodologies and interested in advancing these tools for accelerating the analysis of the big data acquired by electron microscopy. • You work
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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