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Monte Carlo methods for glassy dynamics and complex materials Supervisor: Dr Michael Faulkner, University of Warwick Glasses are materials that combine macroscopic solid behaviour with amorphous liquid
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Description at the Leibniz-Institut für Kristallzüchtung is looking for a PhD Student (m/f/d) for the topic: “Kinetic Monte Carlo Simulations for the Homoepitaxy of Ga2 O3 ” Ga2 O3 is a highly promising
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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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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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-Experience in particle physics phenomenology or related area - programming in C++ - programming in Python - fluent knowleage of English language Welcome: - experience in Monte Carlo methods and statistical
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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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between theoretical and computational high-energy physics. The research contributes to the world-leading PYTHIA Monte Carlo Event Generator, which serves as the baseline for the majority of experimental
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varying material properties. The resulting response will be analyzed using techniques such as Monte Carlo simulations. Identifying the variability of the model parameters using Bayesian inference
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for immobilizing these ions. Modern methods of theoretical chemistry (first principles, kinetic Monte Carlo, machine learning) will be applied to investigate diffusion phenomena and link speciation with
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electronicstructure simulation data (e.g., Molecular Dynamics, Monte Carlo, and Density Functional Theory) generated within the project to create high-quality training and validation datasets. Integrate AI/ML models