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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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of neurosciences, such as the study of subcellular mechanisms underlying interneuron communication, of the organization of neuronal networks and of their role in behavioral responses and neuropsychiatric diseases
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bioinformatic/biostatistical analysis (CNRS UMR8265, NeuroSU - IBPS - SU). It will benefit from a collaboration with O. Saulnier (0000-0003-4111-1017) a team leader at Curie Institute with expertise in
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, network-based analysis, unsupervised learning and interpretable AI. The project leaves room for methodological exploration while remaining closely connected to biological interpretation, experimental
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socio-hydrosystems, from stormwater networks and surface waters to wastewater treatment plants and receiving environments. The project relies on innovative high-resolution mass spectrometry (HRMS)-based
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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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intervention to prevent diaphragm atrophy: longitudinal analysis via MRI Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR8263-ISAVIV-007/Default.aspx Requirements Research FieldBiological
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-turbine capable of converting their energy into electricity. Ultimately, this strategy could significantly reduce the net energy consumption of the process and contribute to the development of low-carbon
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Library and its databases, including free access to press archives. From a community perspective, they will join a network of 84 PhD students at the ISP, with opportunities to participate in and contribute
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network that allow different sound dimensions to propagate along the auditory pathway. Frequency representation, or tonotopy, is present as early as the peripheral level, and the relationship between neuron