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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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scientific programs with a strong focus on Electroweak and Beyond the Standard Model physics. Participation in the development and performance of physics and detector simulations for high-energy and nuclear
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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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: Perform FLUKA-based Monte Carlo simulations of beam-induced radiation in EIC machine components Quantify energy deposition, power loss, radiation-to-electronics (R2E) relevant quantities, and total ionizing
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. The EIC will be a discovery machine for unlocking the secrets of the “glue” that binds the building blocks of visible matter in the universe. The machine design is based on the existing and highly optimized
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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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theoretical understanding and practical experience in deep learning-based machine learning. Strong research experience (e.g. evidenced by publication record). Excellent programming skills and in-depth
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that all qualified applicants receive consideration for employment and will not be discriminated against based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, status
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employer that values inclusion and diversity at our Lab. We are committed to ensuring that all qualified applicants receive consideration for employment and will not be discriminated against based on race
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diversity at our Lab. We are committed to ensuring that all qualified applicants receive consideration for employment and will not be discriminated against based on race, color, religion, sex, sexual