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applies platforms for state-of-the-art techniques for Accelerated Nanomaterial Discovery, integrating synthesis, advanced characterization, physical modeling, and computer science to iteratively explore a
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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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physics principles for beamlines, synchrotrons, and storage rings, including the theory of polarized beams. Duties will involve developing physics models of accelerators and beams using standard simulation
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. Experience creating and checking detailed mechanical drawings and 3D models of pipe systems and components andmanaging the work of mechanical designers. Experience with creating and reviewing detailed piping
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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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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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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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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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Develop a prototype neural network model for modeling strongly correlated materials. Implement and experiment with models using PyTorch and TensorFlow frameworks. Collaborate with team members to evaluate
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, Beyond the Standard Model phenomenology, precision calculations for the LHC and intensity frontier, overlaps of particle physics and cosmology, and lattice gauge theory. The lattice efforts span weak