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, without the use of simulation software familiar to process engineers. In this thesis, we aim to: - Propose generative models for other types of cycles, based on existing models. To do this, we could use
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(mathematical modeling in ecology, LOMIC, Banyuls-sur-Mer) and Prof. Christoph Grunau (Host-Pathogen-Environment Interactions, IHPE, Perpignan). Both laboratories are equipped with all the necessary computational
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be done via computer simulations, including Monte Carlo and molecular dynamics, combined with the use of statistical mechanics to predict e.g. phase transitions, nucleation rates, etc. The work will be
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 1 month ago
applications have been organized in different steps that interact with each other. The classical first step is to describe the application through a model. Through this model, a first process is operated
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), IBPS, Sorbonne Université. The team possesses expertise in developing application-specific microfluidic models that integrate desired mechanical conditions of fluid flow and substrate viscoelasticity
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., valves); - Development of a coupled simulation tool, integrating the expander model with the linear alternator model developed at IES; - Parametric simulations and sensitivity analysis to assess
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of the landscape over time. The LANDIS-II forest landscape disturbance and succession model will be used to perform simulations based on palaeoecological data. The student will collaborate with project researchers
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of Communities team and interact with its members. The modeling work will also involve collaborations with researchers from CEFE (Montpellier), BIOGECO (Bordeaux), and forest management partners (ONF). Our little
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utilization. DESIRE will equip 15 PhD researchers with cutting-edge expertise in combustion science, chemical kinetics, fluid dynamics, and digital modeling, preparing them to revolutionize industrial energy
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will equip 15 PhD researchers with cutting-edge expertise in combustion science, chemical kinetics, fluid dynamics, and digital modeling, preparing them to revolutionize industrial energy systems and