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. The approach used relies on developing machine-learning interatomic potentials based on ab initio calculations, which are then employed to perform large-scale classical molecular dynamics simulations. However
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collaboration with other CEA teams, notably ; * Parallel and cluster computing environment and efficient LP/MILP algorithms for our large-scale models ; * Data structuring and storage solutions for model input
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experimentation with innovative modeling, data analysis and machine learning/AI techniques. 1 - Global Energy-Economy-Environment Systems Modelling Your main duty is to contribute to our collection of linear
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JOIN US, TO DO WHAT? Contributing to technological innovation for clean and safe energy, health and well-being, sustainable transportation, information and communications, space exploration, safety and
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Category Mathematics, information, scientific, software Contract Internship Job title Large language models for automatic bug finding in source code analysis H/F Subject JOIN US, TO DO WHAT