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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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qualifications Experience in one or more of the following areas is considered a merit: data analysis using ROOT, particle-transport simulations using Monte Carlo codes such as Geant4, FLUKA, or OpenMC, nuclear
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a requirement. Experience with advanced statistical methods, econometric methods, and Monte Carlo simulation is an advantage. We do not expect candidates to already possess expertise in these areas
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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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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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. Sequential decision making. MDP/POMDP, dynamic programming, model-based RL, latent state-space (world) models, Monte-Carlo Tree Search. Strong command of at least one, working knowledge of a second: Formal
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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
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Monte Carlo simulated data, but there is also the possibility of working with real open data from the ATLAS and/or CMS experiments. The methods are general and applicable well beyond particle physics
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electrocatalysis: The research involves the application and development of ab initio methods, molecular dynamics and kinetic Monte Carlo simulations to model electrocatalytic oxidation and reduction reactions
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Monte-Carlo simulations to optimize the detector geometry, as well as in its testing and commissioning. It will include as well the preparation of forthcoming experiments at the DESIR facility in GANIL