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, ranging from soft matter to biology to synthetic chemistry. The laboratory benefits from numerous academic and industrial partnerships in France and worldwide. Its openness, recognition, and state
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with Prof. Qi (now at Georgia Institute of Technology), this field has received significant advancements, with numerous proofs-of-concept showcasing diverse behaviors and materials for potential future
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of numerical ice shelf models has recently been developed to study, among other things, the realistic behaviour of the dynamics of a floe assembly, based on a granular approach. The purpose
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on the Triolet campus of the University of Montpellier and brings together around 250 people, including researchers, teacher-researchers and IT staff, as well as numerous doctoral and post-doctoral students. Its
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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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sciences, particularly in the domain of numerical weather prediction. On the one hand, state-of-the-art models such as GraphCast have demonstrated outstanding predictive skill. On the other hand, physics
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developed a protocol for synthesising CVD nanodiamonds containing SiV and GeV centres, and demonstrated their first use as high-pressure and stress sensors [3, 4]. These results have also opened up numerous
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numerical modeling - Scientific writing (reports, articles) - Ability to lead meetings and ensure quality of tools and results Knowledge: - Data collection, analysis, and processing - English proficiency (B2
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of ultrasound therapy and their control in real time. This team develops new methods for the control of ultrasonic cavitation, a phenomenon that enables the permeabilization of numerous biological membranes
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pressure and temperature levels; - Validate the numerical model of the complete system by comparison with experimental data; - Identify improvement strategies for performance and system robustness. Work