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. This interdisciplinary approach relies on the complementary expertise of S. Giordano (IEMN), who will develop a multiscale mathematical model of the multicellular system, and F. Anquez (PhLAM), who will lead the imaging
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at the Laplace laboratory, where numerical and analytical models are being developed to predict plasma potential control and flux entrainment from polarized electrodes. During the third year of the thesis project
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interfacial phenomena. The project is part of the ERC Starting Grant EMBIOMO, which focuses on the dynamics of embolism propagation within leaf vascular networks and on the development of biomimetic models
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the ARS Mayotte teams to present their findings and develop their research project. Additionally, they will have the opportunity to engage with national networks in mathematical epidemiology modeling
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, the ability to analyze the full dataset collected by the experiment will be severely limited. The L2IT is a leader in developing new track reconstruction algorithms using geometric deep learning methods
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: automating information extraction from unstructured data, proposing a common representation of multi-source data, developing data fusion and knowledge enrichment methods, automatically detecting anomalies, and
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research unit of Clermont Auvergne University, affiliated with the French National Centre for Scientific Research (CNRS) and the French Research Institute for Development (IRD). It is situated on the Cézeaux
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, United States) demonstrated net en-ergy gain in inertial fusion for the first time, marking a major scientific advancement. This breakthrough has since spurred numerous international projects aimed at developing
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or ferromagnetic as well as its competition with other correlated phases (superconductivity, charge orders etc..), we propose to use the powerful method developed in our group, based on exquisitely sensitive magneto
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field) and ground-based (radio) data - Use of various software codes: (i) radio emission simulation code, (ii) solar wind propagation code. - Development of software (preferably in Python) for data