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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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be inferred from models that are incomplete and data that involve errors. For such challenges, Bayesian analysis using Markov Chain Monte Carlo (MCMC) has become the gold standard. For addressing high
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Position Description We are looking to fill a postdoc position in Bonn in theoretical elementary particle physics. Applicants working in particle phenomenology and with expertise in perturbative QCD, Monte
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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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performance simulation of instrument performance with Monte-Carlo ray-tracing programmes virtual experiments to validate the instrument performance pursue own scientific research in the field of engineering
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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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qualified women to apply for the position. Project description: You will be responsible for the development of neutron scattering and imaging instruments by numerical calculation and Monte-Carlo ray-tracing
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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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finalization of the foundations of dual-tracer imaging using a GATE-based Monte Carlo simulation Implementation of the developed algorithms within our modular, C++-based and cluster optimized PET image
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 1 month ago
finalization of the foundations of dual-tracer imaging using a GATE-based Monte Carlo simulation # Implementation of the developed algorithms within our modular, C++-based and cluster optimized PET image