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on simulating nanoalloy structures to create a database for materials characterization. The main tasks include running molecular dynamics and Monte Carlo simulations to model nanoalloys under various
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porous solids for the capture and/or degradation of toxic agents (or simulants) and sensors. Main activities Identification of MOFS composition Using existing databases that have already identified
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Description We are recruiting a contract researcher to join a project involving the development of predictive models for simulating material forming processes, within the mechanical engineering department
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, the primary unit of chromatin, using classical all-atom molecular dynamics simulations. The nucleosome is composed of a double-stranded DNA fragment wrapped around a protein core consisting of eight histones
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difficult to couple with basin simulators. Geochemical metamodels, particularly those based on machine learning, can significantly reduce computation times while maintaining physico-chemical consistency
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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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/she will also take part to beam test campaigns (CERN, DESY, Mainz, FermiLab or BNL) and will be involved in simulation work (GEANT4) of exclusive processes, such as Deeply Virtual Compton Scattering
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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
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to the viscoelastic behavior of polymeric foams under large deformations dynamic loadings. The objective is to simulate, using the finite element method, the response of these porous microstructures under complex
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simulation software modelling the dynamic behavior of dislocations (DDD) in 3 dimensions, coupled with a spectral solver based on FFT. The procedures must analyze the simulated 3D microstructures to compare