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transport modeling and machine protection strategies for the EIC accelerator complex. This position will focus on Monte Carlo simulations to characterize the radiation environment resulting from beam losses
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analysis of atmospheric numerical model output (e.g., WRF, PALM, SAM) Experience with machine learning and artificial intelligence techniques Experience with predictive modeling Environmental, Health
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secondary electron detector for surface imaging at the atomic scale, and hybrid-pixel detector for 4D-STEM. The second STEM will be an ultra-high vacuum environmental STEM with nine orders of magnitude
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the missions of the U.S. Department of Energy’s (DOE) Office of Sciences and the DOE Office of Biological and Environmental Research. Together with the Collider-Accelerator Department, we also manage the NASA
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of Energy’s Office of Sciences and the DOE Office of Biological and Environmental Research. In addition, together with the Collider-Accelerator Department, the Biology Department manages the NASA Space