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Antarctic contribution scenarios: design and implement specific experiments aimed at evaluating the 'high-end' of projections, i.e. the highest possible contributions to sea-level rise. This will notably
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of the chosen nanorod mixture. The overall aim is to design systems that spontaneously self-assemble into assemblies with a target (crystalline or quasicrystalline) symmetry within each layer. This project will
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well as decentralized machine learning algorithms for large-scale clouds with dynamique parameters. -- Conception of machine learning algorithmes for resource allocation -- Numerical experiments -- Drafting research
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