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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, AI based detector design optimization, streaming computing model development, production, distributed computing and workflow management, software infrastructure, particle ID, tracking
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push the envelope to accomplish our missions, we develop novel tools and techniques in biochemistry, molecular genetics, structural biology, cell biology, plant pathology and bioimaging that also benefit
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to investigate the molecular basis of plant-pathogen interactions in bioenergy Sorghum. The successful candidate will study plant immune responses at the organismal, subcellular, and molecular levels to uncover
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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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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
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, and infrared light to enable discoveries in clean and affordable energy, high-temperature superconductivity, molecular electronics, and more. POSITION DESCRIPTION The Physical Science and Research