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for Systems Analysis and Architecture (LAAS) within the MechaBioFluidics team, which has extensive expertise in microfluidics and microfabrication (a technology platform of the national ReNaTech network), in
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), within the ATLAS group. The PhD student will join a large-scale international collaboration and participate in the activities of the ATLAS experiment at CERN. The work will focus on the analysis of data
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are reaching their limits in the face of the increasing complexity of distributed energy systems. The simultaneous presence of multiple energy sources, frequent topology changes, interactions between physical
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quality and hinder quantitative image analysis, even when serial sectioning approaches are employed. To address this limitation, an initial strategy will consist of homogenizing the refractive index
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the retina, clocks play a crucial role in adaptation of retinal physiology (light sensitivity, limitation of light exposure, metabolism for instance) to the light/dark cycle (Felder-Schmiottbuhl et al, 2018
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, incomplete, inconsistent, or affected by uncertainties, limiting their use for asset knowledge, infrastructure maintenance, and urban risk management. In this context, the central research question of this PhD
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developments and quantitative image analysis, with the support of C. Lagadec (CANTHER) in cancer biology. Experimental work will be carried out at PhLAM, while the theoretical developments will be conducted
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paleo studies. Furthermore, our knowledge of Holocene climate at high altitudes remains very limited (Jomelli et al., 2022). Monsoon proxies located at low altitudes show no direct links with glacier
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lead to the complete mineralization of contaminants. However, their large-scale deployment remains limited, particularly by their energy consumption. The international Turb'Eaux project proposes
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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