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Information Eligibility criteria The candidate must hold a PhD in physics, chemistry, or materials science. Skills in theoretical modeling (ab initio, DF(P)T, GW) will be appreciated. The candidate will work in
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simulations (integrated modelling) can be used to better understand the dependencies obtained in scaling laws and better constrain them beyond the existing experimental space. This is the goal of the present
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, PhD students, and postdocs, conducting research in the field of Mechanics of Living Systems and Health Engineering. The lab carries out fundamental studies on the understanding and modeling of living
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modelling of membrane contactors, with the aim of maximising their performance in terms of separation and energy consumption. The project will be carried out at the LRGP (Reactions and Process Engineering
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melt than greenhouse gas emissions. - The high-resolution regional atmospheric chemistry-transport model CHIMERE will be used to understand the impact of terrain complexity and the spatial variability
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project aims to develop model vitrimer systems produced in powder form (at the CP2M laboratory) and to understand the fundamental mechanisms of stress-assisted sintering, a central process for achieving
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. This project will be financed by an Impulscience grant, which runs until June 2029. The postdoctoral fellow will be using Drosophila as a model organism. They will be managing Drosophila stocks and setting up
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on the plants Arabidopsis thaliana will generate maps of depolarization, retardance, dichroism, and optical axis azimuth, which will feed machine learning models developed by the project partners to identify
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experiments on mouse models (force-feeding, intraperitoneal injections, blood sampling, oral and faecal microbiota sampling), behavioural tests, post-mortem neuropathological evaluations, biochemical analyses
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postdoctoral researcher position in theoretical cosmology. The position is dedicated to developing a robust and efficient framework that incorporates a broad range of neutrino and dark-matter models, assessing