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environment featuring a wide range of research activities, including QM/MM simulations, ionic liquid simulations, and excited-state characterization. The aim of this PhD thesis is the atomistic modeling
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of the Monte Carlo simulations required to generate the training datasets. At LOA, the candidate will have access to appropriate research infrastructure. This position falls within the scope of the Protection
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knowledge of numerical methods - knowledge of free-surface flows, granular flows - proven experience in numerical simulation (finite elements, finite volumes, CFD, LES, etc.) - proficiency in basic scientific
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, extinctions, and environmental change; ● Running simulations and scenario analyses to explore how different discounting rules or time preferences shift optimal conservation choices; ● Fitting models
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methodologies to solve biologically relevant problems. Its members are active in the fields of docking, atomistic and coarse-grained simulations tackling problems such as protein/protein and protein/DNA
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to develop chiral metal nanoclusters, understand their chirality at the atomic level through a combination of advanced spectroscopic techniques and theoretical simulations, and apply them to relevant processes
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to develop chiral metal nanoclusters, understand their chirality at the atomic level through a combination of advanced spectroscopic techniques and theoretical simulations, and apply them to relevant processes
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-quality, quantum-grade CVD nanodiamonds containing G4V color centers with stable and highly emissive ZPLs, while also investigating the plasma environment, through both simulations and experiments
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[2, 4, 5]; - Lack of common representation for process flowsheets (graph incidence matrix, custom-made dedicated language, SFILES 2.0 standard) - Various custom-made process simulation environments
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modelling or numerical simulations. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7342-MARBRA-012/Candidater.aspx Requirements Research FieldEngineeringEducation LevelPhD or equivalent