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dimensions and the generalised Haldane phase in quasi one-dimensional systems. Key Responsibilities: Develop quantum Monte Carlo algorithm to simulate imaginary time dynamics in integer spin systems Implement
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–451. https://doi.org/10.1109/TRPMS.2017.2718545 Bouzid, D., Bert, J., Dupre, P.-F., Benhalouche, S., Pradier, O., Boussion, N., Visvikis, D., 2015. Monte-Carlo dosimetry for intraoperative radiotherapy
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properties of phase transitions involving magnetism, elasticity, dielectricity, etc. by applying and developing computational methods such as classical and quantum Monte Carlo simulations, molecular dynamics
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to determine these materials’ chemical structure and its effect on their properties. This project will use theoretical modelling (density-functional theory and Monte Carlo calculations) to investigate
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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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, and Monte Carlo simulations. Additionally, participation in the phenomenological activities in collaboration with LHC experimentalists is anticipated. Where to apply E-mail jobs@ifj.edu.pl Requirements
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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 diffusion
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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