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thermodynamic cycles by combining two complementary approaches: - Generative models derived from artificial intelligence, capable of proposing new process architectures; - Superstructure-based optimization
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AI researchers from ANITI, IMT and CERFACS, as well as with researchers/engineers in weather forecastings from the CNRM (Météo-France). Hybridization methods between neural networks and physical models
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. The main objective of the PhD project is to study the impact of auroral particle precipitation on Jupiter's atmospheric composition. The work will involve modeling the abundances of key chemical species in
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) molecular modeling would be an asset but is not required. The PhD candidate will join the Condensed Matter and Electroactive Systems team, specifically the group led by Cyril Poriel. The PhD will be
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silica or zirconia particles, using templating agents to control their morphology.1 Further, by careful surface modification of the particles, we can add a polymer shell around these anisotropic cores via
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using this module in the model bacterium Escherichia coli. Redox titration approaches coupled with EPR (Electron Paramagnetic Resonance) spectroscopy techniques will be used to stabilize and study the
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PhD position: Nanoengineering refractory compositionally complex alloys for extreme conditions (M/F)
on the synthesis of thin films by physical vapor deposition (PVD)—including magnetron sputtering and pulsed laser deposition—at LSPM, enabling precise control of chemical composition and microstructure (grain size
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RESEARCHER (M/F) with the ANR MIJMA (International Migration of Young Africans and Minors to Europe.
of scienceYears of Research ExperienceNone Additional Information Eligibility criteria to candidates holding a PhD in sociology, anthropology and/or political science. In terms of methodology, a command of the
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synthesis due to steric hindrance and associated selectivity issues. Thesis Objective: This thesis aims to develop new synthetic methodologies based on controlled cationic chemistry to access these highly
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this, the CHAIN-H2 project will combine experimental and numerical studies covering small-scale kinetics through to modelling of the larger-scale characteristics of flame inhibition (flame propagation in a cloud of