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identification of exchange networks from local to extra-regional scales. The doctoral candidate is expected to conduct metallographic examinations and chemical characterizations (primarily SEM-EDS and LA-ICP-MS
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Analysis and Architecture (LAAS) within the MechaBioFluidics team, which has extensive expertise in microfluidics and microfabrication (a technology platform of the national ReNaTech network), both located
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, information and communication sciences, anthropology, history, and geography. This teamwork will be carried out within the framework of INRAE's national viability network. The successful candidate will benefit
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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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this PhD project is part of the REFFRACTEUR European Doctoral Network, the 36-month doctoral programme will be organised as follows: Months 1–9 (9 months): the doctoral candidate will work at SAFRAN's
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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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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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networks. Alzheimer's disease is associated with early alterations in cholesterol metabolism, lipid droplet accumulation, mitochondrial dysfunction, and defective autophagy, particularly in APOE4 carriers
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-interaction networks associated with the centrosome and primary cilium, with particular emphasis on the molecular mechanisms linking protein disorder, multivalency, cellular organization, and human disease
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. The work will take place in a hot hyper-arid environment. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5133-DIAALB-002/Default.aspx Requirements Research FieldHistoryEducation LevelPhD