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knowledge of statistical techniques for data analysis Experience in detector performance or trigger systems for high energy or nuclear physics experiments Experience with machine learning techniques and tools
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experiments Experience with machine learning techniques and tools Ability to work in a large international collaboration Hands-on problem-solving skills and clear and concise verbal and written communication
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Knowledge, Skills, and Abilities: Strong analytical and critical thinking skills Familiarity with cutting-edge tools and techniques used in high-energy computations Demonstrated track record of publication
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, the research will also involve the use of pulse radiolysis as a tool for the characterization of transient intermediates involved in energy-related catalytic processes in organic solvents, e.g., CO2
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radiolysis as a tool to study fundamental molecular energy conversion processes such as charge separation, transfer/transport and recombination, as well as projects with applications in light-driven chemical
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new knowledge and deliver next-generation predictive tools. These tools are meant to promote equitable policy interventions targeting extreme climate events, carbon dioxide emissions, and local air
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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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microscopy. Researchers will benefit from BNL’s unparalleled suite of electron microscopy tools, including aberration-corrected instruments from JEOL, Hitachi, and Thermo Fisher, as well as two upcoming