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collaboration with Michelin, is to develop surrogate models capable of rapidly approximating the simulator's results while accounting for uncertainty. Particular attention will be paid to the model's lightness
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. This production does not involve any catalysts such as light or heat. It is an intrinsic property of the air/water interface, and therefore potentially ubiquitous in the troposphere. This PhD project aims
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porous media (imbibition, wetting, flow, etc.). The approach will be essentially experimental, combining model debinding tests on various specimens with characterizations. • Determine the main mechanisms
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chemistryYears of Research Experience1 - 4 Additional Information Eligibility criteria The candidate must have a PhD in computational chemistry, ideally in material and/or surface science. Experience in modelling
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conjugates into fluorescent nanostructures, which growth results from a combination of dynamic covalent and supramolecular processes, moving from solution studies to model lipid membranes, then live cells
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using advanced statistical methods. The goal is to improve our understanding of wave-driven turbulence processes, which are crucial for accurate climate modeling The Institute of Environmental Geosciences
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). The group currently hosts 2 PhD students. The group is publishing about 10 articles a year in high-impact journals (PRL, Nature, Nature Photonics, Nature Physics, Optica, ...): http
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to assess performance in hypoxia models and radiotherapy contexts. Participate in publications, patents, and start-up development activities. The work will take place within the framework of the Project
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-source framework, enabling the systematic study of these materials. The work will involve developing tensor network numerical codes, building upon existing libraries and codes, to study general models
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primarily focus on one or more of these parts. The successful candidate will develop numerical tools and/or theoretical models to model and simulate the behavior of a group of agents capable of chemical