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experiment at the EIC. The program includes data analysis involving polarized targets at Jefferson Lab as well as full detector and physics simulations for ePIC. In addition, the candidate will collaborate
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proven ability to grow high quality single crystals, and ability to repair and maintain synthesis related equipment A proven ability to perform structural characterization with advanced transmission
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complex terrain regions. CMAS does this by innovating on the fronts of meteorological data acquisition, analysis, and interpretation (https://www.bnl.gov/cmas/). The CMAS work portfolio is conducted within
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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
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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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for scientific and security applications; (ii) ML model optimization for inference speed and deployment for real-time analysis; and (iii) AI model training for analog in-memory computing. The position provides