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of these: Monte Carlo simulations, benchtop and prototype imaging system design, excellent programming skills, Medipix/Timepix detectors, analytical models, forward, and inverse problems, and prototype system
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Experience with Monte Carlo radiation transport software and applications Experience with numerical computing using programming languages such as C++, Fortran, Python, etc. Author or co-author of open
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translation into energy, environment, and security solutions for the nation. Major Duties/Responsibilities: Perform neutronic analyses with state-of-the-art Monte Carlo radiation transport codes to calculate
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member or industrial researcher in the future. Current research topics are found in the field of two-dimensional (2D) materials, quantum transport in nanoelectronics, Monte Carlo simulations for electronic
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chemistry; Energetics; Quantum chemistry; Quantum Monte Carlo; Thermochemistry; Eligibility Citizenship: Open to U.S. citizens Level: Open to Postdoctoral applicants Stipend Base Stipend Travel Allotment
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candidate is required to conduct research on magnetic, ferroelectric and multiferroic materials. Using techniques such as first-principles total energy calculations, effective Hamiltonian Monte Carlo and
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. Molecular dynamics and Monte Carlo simulations will be performed to generate training data and evaluate models. All results will be disseminated through conference presentations and peer-reviewed publications
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based on performance and funding availability. Candidate will conduct high-throughput computational simulations using MLIP, DFT, TD-DFT, QM/MM, kinetic Monte Carlo, and MD to study material and molecular
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, as demonstrated through research and associated publications, with focus on one or more of the following: Monte Carlo transport, deterministic transport, depletion, multigroup cross section processing
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of policies on budgetary outcomes and other economic variables for policymakers. Large-scale Monte-Carlo simulations are performed with structural microeconomic models, and their results are aggregated