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inference and/or Monte Carlo methods. The numerical solution of partial differential equations. The initial contract duration will be of 1 year with ample possibilities for renewal. Our hope is to later on
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experimental approaches, with theoretical activities focusing on: Quantum mechanical calculations using density functional theory. Mean-field modeling and Monte Carlo simulations for reaction kinetics
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focusing on: Quantum mechanical calculations using density functional theory. Mean-field modeling and Monte Carlo simulations for reaction kinetics. Theoretical spectroscopy By combining quantum mechanical
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expertise will extend to various areas, including quantum Monte Carlo, machine learning, quantum computing, quantum machine learning, and tensor networks. These and other techniques will allow us to confront
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of the Monte Carlo simulations required to generate the training datasets. At LOA, the candidate will have access to appropriate research infrastructure. This position falls within the scope of the Protection
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the reach of traditional molecular simulations. Therefore, this project will apply adaptive kinetic Monte Carlo simulations to model zeolite formation as a dynamic network of growing and dissolving clusters
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 2 months ago
complemented by Monte Carlo simulations, triple collocation analysis and data assimilation to develop a frame work for the operational processing and data fusion to finally derive 3- dimensional (dim), and where
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variants of importance sampling. We will connect these methods to modern formulations of Monte Carlo algorithms to improve their accuracy, scalability, and overall computational cost. The methodology so
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be done via computer simulations, including Monte Carlo and molecular dynamics, combined with the use of statistical mechanics to predict e.g. phase transitions, nucleation rates, etc. The work will be
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critical to ensuring the longevity and safety of fusion reactors. This PhD project focuses on developing an integrated framework that combines cutting-edge computational models, including Monte Carlo