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dynamic ecosystem that brings together academics and companies of all sizes. The Signal team of the i3S Laboratory (https://i3s.univ-cotedazur.fr/signal ), aims to develop advanced, innovative and adapted
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punctual mobilities within the partners of the project consortium. The PhD task will be dedicated to the 3D printing of nano-structured polymer materials by photo-Polymerization Induced Microphase Separation
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further insight into the distribution of chemical elements and 3D strain around the interfaces in these structures. The expected results include a better understanding of the growth mechanisms of Sn on III
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within the Solid-state Quantum Technologies team (S2QT – https://solidstatequantumtech-l2c.fr/ ) of the Charles Coulomb Laboratory in Montpellier. The doctoral work will be supervised by Vincent Jacques
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cells including macrophages). - Modelling of CKD-like vascular injury in 3D vascular organoids derived from induced pluripotent stem cells (iPSCs), exposed to phosphate, uremic toxins and pro-inflammatory
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-Saclay region and is easily accessible by public transportation from Paris. More information is available at https://www.ip-paris.fr . The candidate will join the doctoral school of the Institut
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strains) and assess their role in CaCO3 dissolution, before and after pressurisation. • Develop and run multiphysics numerical models in COMSOL (3D geometries from tomography, transport–reaction coupling
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have access to state-of-the-art facilities, including cleanroom microfabrication, laser micromachining, 3D printing, advanced microscopy, and numerical modeling tools. The project benefits from a close
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the production and dissemination of a film presenting the project. Supervision Prof. Radouane EL YAGOUBI – Neuroscience, CLLE Laboratory Dr Amel AISSAOUI – Signal Processing, IRIT Laboratory Contact Prof. Radouane
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, multimodal data interpretation, real-time stream processing, adaptive robot control, trust calibration, and edge-cloud deployment. The expected outcome is an inclusive, interpretable, and sustainable AI-based