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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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DESCRIPTION The C-AD Accelerator Division has an opening for a Postdoctoral Research Associate who will use precision simulations and machine learning to improve the beam quality and accelerator performance
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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, AI based detector design optimization, streaming computing model development, production, distributed computing and workflow management, software infrastructure, particle ID, tracking
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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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of the student will be the performance of power grid modeling and simulation, statistical analysis and machine learning applications in power system control or cybersecurity, and the implementation in Python and
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a Professional Engineer. General knowledge of NEC Code Articles 100, 200 and 300, NFPA & NFPA 70E. Experience with circuit simulation software such as Microcap or PSIM Environmental, Health & Safety
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business roadmap development and objective prioritization across resources Act as an organizational change agent while advocating for business transformation through technology and operational excellence
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video foundation models. Knowledge and experience with LLM and RLM. Basic knowledge of integrated circuit design, digital simulation and logic synthesis. Familiarity working in multidisciplinary