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mechanisms that dynamically alter the detrapping and recombination probabilities. The aim of this project is to overcome these limitations by developing a Monte Carlo simulation model that treats each charge
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magic, quantum circuits, quantum algorithms (3) Quantum many body computations, including sign problem theory, Quantum Monte Carlo method, DMRG, and machine learning Appointments of postdoctoral
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System Models, or related simulation tools. Additional knowledge of statistical methods, Monte Carlo techniques, or ensemble approaches is highly valued. The post is advertised as full-time. We are open to
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groups in theoretical and experimental particle physics and astrophysics. The successful candidate will conduct research on precision calculations for high-energy collider experiments and Monte Carlo
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have expertise and experience in executing density functional theory (DFT) calculations, microkinetic modeling, kinetic Monte Carlo simulations, and Machine learning methods. Minimum Qualifications: Must
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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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electronic properties of material candidates 4. Use Quantum Monte Carlo and/or renormalized spin wave theory to estimate magnetic ordering temperatures 5. Interact collaboratively with the experimental groups
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protection strategies for the EIC accelerator complex. This position will focus on Monte Carlo simulations to characterize the radiation environment resulting from beam losses and synchrotron radiation, with
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closely related field, with a strong interest in biological systems are particularly encouraged to apply. We seek candidates with expertise in some of the following areas: molecular dynamics, Monte Carlo
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some of the following areas: molecular dynamics, Monte Carlo simulations, statistical mechanics, computer programming (e.g., C++, Python), polymer theory, molecular modeling (e.g., of proteins, nucleic