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by time of appointment. The proposed research will leverage multiple computational many-body techniques (including classical and quantum Monte Carlo, molecular dynamics, and ab initio methods) and
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discipline completed within the last 5 years. - Strong background in Multiscale simulations (ab initio calculations, Molecular dynamics, Computational modeling) and materials science. - Excellent skills and
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simulation (classical and ab-initio molecular dynamics, DFT, simulations) Proficiency in programming languages like Python, C++, or Fortran for custom analysis tools. Experience in developing workflows
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communications. Preferred Knowledge, Skills, and Abilities: You have experience developing and applying machine learning models You have experience in ab initio molecular dynamics. You are familiar with CUDA
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properties and electrical characterization will be carried out. The results will be compared with ab initio calculations and will provide input for physical models based on real devices to predict key metrics