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rigorous wavefront simulations and AI/ML networks that account for the light-matter interactions in various wavelength regimes, and real light source parameters such as coherence, polarization
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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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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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simulation and optimization of electron beam spin polarization in the electron storage ring (ESR) of the Electron-Ion Collider. This includes expanding the spin tracking capabilities of the accelerator design
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Division), plus other postdoctoral researchers who are working on different aspects of the project (i.e., development of ptychographic imaging techniques, performing simulations and experiments
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deployment strategies to evaluate and inform next-generation predictive urban climate models (e.g., using OSSEs (Observing System Simulation Experiments) or ablation studies, through extensive literature
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optimization. Basic knowledge of integrated circuit design, including digital simulation and logic synthesis. methods, and other related topics pertaining to fast AI model inference. Experience working in