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capacity, ....). - build codes to generate different type of distributions (Poissonian, hyperuniform and aggregated distributions), either on a planar or curved surfaces - use codes based on coupled dipole
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. The second part of the mission concerns a research project focused on polymer foams (60% of the time). This project aims to understand how the distribution of solid material between cell walls and struts can
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simulation of turbulent reactive flows. Modeling and simulation of turbulent flames in distributed combustion using a hybrid RANS/LES approach. Develop, implement, and test models for the numerical simulation
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, using a solid nanopore integrated into a microfluidic device. This work will be low TRL and very fundamental in terms of understanding the dynamics of ions in confined environments. -The postdoc will be
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properties are optimized by machine learning algorithms to retrieve properties of reference flames gathered in a learning base. A virtual scheme consists of a main block that models the heat release from
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the A-STAR Institute in Singapore to study the potential for catalysis of cobalt oxides and manganese oxides from the recycling of end-of-life batteries. The postdoc will focus on the characterization
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The postdoc is mainly experimental but involves theoretical modelling. Appreciated skills: fluid physics, soft matter, biophysics Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5588
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and vegetation, with the aim of predicting ecosystem responses to environmental drivers. Its work focuses on issues such as species distribution and conservation, biodiversity, agricultural crop
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of 19 permanent members, 15 PhD students per year, 4 postdocs per year, and 6 master's students per year. Part of the work will be conducted in collaboration with the Interfacial Electrochemistry and
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supported reagent, it enables high activity in olefin polymerization with a high degree of control over composition and mass distribution. However, MAO is a poorly defined compound. Its precise structure and