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reinforcement learning (RL), Bayes adaptive RL, and planning with novel variants of Monte Carlo tree search. You should possess a relevant PhD/DPhil or be near completion together with relevant experience
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(for example, efficient sampling from the Gibbs measure, Markov Chain Monte Carlo methods, etc.). Experience in distributed or parallel computing is a plus, but is not a requirement. The position does not
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effects on astronauts. Detailed analyses of such effects, and possible ways to shield and mitigate against them, are typically conducted by using environmental prediction in combination with Monte Carlo
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, or computer science. Core competencies: solid background in quantum many-body physics strong programming skills (Python required, Rust a plus) experience with tensor networks, variational Monte-Carlo, machine learning
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interactions using Monte Carlo codes (MCNP, PHITS). Designing and performing numerical calculations of radiation shielding using Monte Carlo codes. Designing and performing Monte Carlo calculations
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apply expertise in techniques such as reflectance spectroscopy and statistical modeling approaches, including Markov chain Monte Carlo methods, to support scientific investigations of planetary
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scan. The project will involve Monte Carlo simulations and hands-on experimental studies with a range of phantoms using the TBP scanners at King’s College London (KCL) to fully characterise
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. The PhD work will focus on extending DINo to additional nuclear systems and progressively integrating it into the Geant4 Monte Carlo framework in collaboration with the Geant4 consortium. The PhD student
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materials to improve catalytic performance in water oxidation reactions). To achieve this goal, we will leverage BCAM’s enhanced Bayesian sampling techniques, generalized hybrid Monte Carlo (MC) schemes, and
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potentials (DeePMD-kit, NequIP/Allegro, or similar). Familiarity with cluster-expansion/Monte Carlo methods, thermodynamic integration, or elastic-constant calculations. Knowledge of high-pressure mineral