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nanorods interactions from experimental data. The ideal candidate has significant experience in computer simulations and programming, as well as a strong background in statistical mechanics. Where to apply
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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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different ice sheet models on comparable topographic configurations, in order to identify sources of uncertainty and possible improvements. 2. Contribute to ISMIP7 Antarctica experiments: carry out
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degree in analytical chemistry or environmental sciences with an interest in biogeochemistry. He/she is passionate about environmental issues, rigorous and highly motivated. Experience in analytical