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the vascular organoid model, to establish a causal link between these target genes and the vascular calcification phenotype. This PhD project, at the interface of vascular biology, immunology, stem cell biology
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• Education: Master's degree in Automation, Electrical Engineering, AI, or Energy. • Skills: Modeling (Python/Matlab), AI (PyTorch/TensorFlow), signal processing. • Qualities: A passion for experimentation (HIL
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to the development of energy models; • to access complementary experimental platforms; • to strengthen Franco-Canadian scientific collaborations. The project also benefits from industrial support through
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at the IBDM (Institute of Developmental Biology of Marseille) within the “Physical approaches to cell dynamics and tissue morphogenesis (PoM)” team, and at IUSTI (University Institute of Industrial Thermal
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bosons at high energies, thereby preserving perturbative unitarity. Any deviation of the Higgs boson couplings from their Standard Model predictions would require the existence of new interactions
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natural environments. It fits with Sustainable Transitions axe of the TIRIS program (https://anr.fr/ProjetIA-22-EXES-0015 ), addressing challenges related to energy transition, resource conservation and
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models that bridge the gap between laboratory settings and natural environments. It fits with Sustainable Transitions axe of the TIRIS program (https://anr.fr/ProjetIA-22-EXES-0015 ), addressing challenges
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, France to complete the project. Objectives The objective of this PhD project is to develop advanced numerical modelling tools to support the digital twins of refractory materials, with the aim
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, neurodegeneration, advanced microscopy, stem cell biology, and cell biology. The project will leverage state-of-the-art imaging facilities and established human iPSC-derived models of Alzheimer's disease. The work is
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engineering, electromagnetic induction, and numerical modeling and simulation. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5128-REGPHI-005/Default.aspx Requirements Research