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of the PRCI project entitled LUCAS (Leverage External Data for Enhanced Understanding and Causal Attribution of Anomalies in Water Network Systems). The research activities will be carried out at the Centre de
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the context of a PEPR project, in collaboration with eight CNRS and CEA laboratories working on the future of electrical grids. More specifically, it is linked to WP5, dedicated to cybersecurity and network
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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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activate spinal networks. This PhD project aims to investigate the underlying mechanisms of rSynES-induced recovery using a mouse model of cervical SCI, through longitudinal assessment of molecular and
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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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structure and hydrogen migration pathways. Integrated Approach and Modeling Framework The project is based on a multiscale observation strategy that combines dense nodal seismic networks, distributed acoustic
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libraries will be generated: one for 3′ SN RNA sequencing and one for SN ATAC-seq. Sequencing will be performed using short-read, paired-end sequencing, with sufficient depth to detect approximately 3,500
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high branching ratio of H(bb) and the high detection sensitivity of the H(γγ) channel. Since the di-Higgs production cross-section is 500 times smaller than that of a single Higgs boson, this process has
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cross-border network — the Upper Rhine Biodiversity Cluster — to share knowledge. This work will lead to analytical tools, action plans, training for professionals, and exhibitions for the general public