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Field
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Numerical simulations Analysis of experimental data Laboratoire Jean Perrin Theory group Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8237-RAPVOI-006/Candidater.aspx Requirements Research
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- Processing of data measuring facial elasticity in patients - Processing of data capturing 3D surfaces based on facial expressions - Numerical simulations (Finite Element) of bone repositioning - Quantification
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study their structures and dynamics using multi-scale simulations, which include all-atom molecular dynamics (MD) simulations, coarse-grained MD simulations, quantum mechanics/molecular mechanics (QM/MM
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conferences, journal publications or patents/software licenses. Context Within the BMBI laboratory, research has been conducted for many years on the digital simulation of facial expressions in collaboration
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survey astronomy. Projects range from AI-oriented astrophysics and cosmology, such as simulation-based inference, AI-based data reduction, and AI-based accurate modeling and simulations, to the database
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properties of phase transitions involving magnetism, elasticity, dielectricity, etc. by applying and developing computational methods such as classical and quantum Monte Carlo simulations, molecular dynamics
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Polymers using a combination of quantum and force field-based simulations that will be further integrated into a force field-based Molecular Dynamics (MD) approaches to assess the permeability and
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to the production and exploitation of large simulation ensembles for the assimilation of paleoclimate data over long climate time scales. · Participate in the scientific exploitation of the simulations produced and
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quantum simulator. The goal is to construct a new experimental tool based on a graphene superlattice to not only measuring macroscopic observables, such as electrical resistivity and magnetization, but also
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integrates a simulation module intended to replace cost distances with individual displacement simulations. In this context, the project aims to test the configuration of the simulation module to identify