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performing atomistic simulations with Density Functional Theory and Molecular Dynamics. Data analysis and coarse graining in order to provide parametrisations for upper scale models (Kinetic Monte Carlo and
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, stochastic dynamics, Monte Carlo and analytical methods) and its thorough validation using advanced experimental techniques (such as mass spectrometry, electron microscopy, radiochemistry and radiobiology
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, using a combination of well-established and robust analysis tools (e.g. mu-analysis) and Monte-Carlo time domain non-linear simulations, including variations in all the uncertainties expected in
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preclinical data, advanced imaging from PET and SPECT scans, and Monte Carlo-based absorbed dose calculations, the project will contribute to more accurate dose–response assessments and inform future strategies
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of radionuclides on clay mineral surfaces using DFT Kinetic Monte Carlo simulations with activation energy barriers as input to simulate large-scale interactions of nuclides with surfaces Preparation and
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to build high-fidelity digital twins of PEC reactors by coupling kinetic Monte Carlo (kMC) surface chemistry with enhanced reactive CFD, enabling predictive modelling of device performance. Key tasks
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triggered by colloids, as well as methods for immobilizing these ions. Modern methods of theoretical chemistry (first principles, kinetic Monte Carlo, machine learning) will be applied to investigate
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of biological tissues at depths of few cm. Models based on the Diffusion approximation of the Radiative Transport Equation or Monte Carlo simulations of photon transport will be adopted. The research activities
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Position Summary The Quantum Monte Carlo group in the Physics Department at WashU in St. Louis invites applications for one postdoctoral position beginning August 2026. We are interested in
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chemistry, electronic structure (static and dynamic aspects), wave function methods (Coupled Cluster, multi-configurational methods, DMRG), Quantum Monte Carlo, DFT-type methods, Green's function methods