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looking for candidates with a background in Monte Carlo Event Generators, parton showers, neutrino-nucleus interactions, and machine learning applications in particle physics. The high energy theory group
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provided materials with highly-sensitive electronic characterziation methods, and will be complemented by an numerical analysis using state-of-the-art drift-diffusion and kinetic Monte-Carlo simulations
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techniques such as tensor networks, quantum Monte Carlo, ab initio calculations, and AI/ML is a plus. Minimum Education and Experience Ph.D in a related field. Preferred Education and Experience Other
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experimental approaches, with theoretical activities focusing on: Quantum mechanical calculations using density functional theory. Mean-field modeling and Monte Carlo simulations for reaction kinetics
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responsibilities for this position include the development of computational models to simulate scintillator properties using time-dependent density functional theory and Monte Carlo methods, analysis and
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following: (a). Analytical methods, e.g. mean-field theory, quantum many-body theory, field-theoretical approaches. (b). Numerical many-body methods, such as exact diagonalization (ED), quantum Monte Carlo
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CFD or kinetic-scale particle methods such as Direct simulation Monte Carlo (DSMC) is preferred. This position requires the candidate to be a U.S. citizen. The salary will be commensurate with
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. Extensive experience in scientific computing involving programming, numerical analysis, symbolic and logical analysis, Monte Carlo simulations, and computer graphics. Experience in Matlab, Mathematica
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-resolution dosimeter, and new algorithms. Following this, the candidate will parameterize a Monte Carlo-based dose calculation system (e.g., GATE, TOPAS, or Geant4-based simulation tools) for evaluation in
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with regard to the tasks: “Exploiting Monte Carlo simulations for accurate dosimetry assessment”, and “Developing a multi-scale model to correlate micro- and nanodosimetric patterns of radiation (sub