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with Novel upscaling assisted by artificial intelligence) project financed by PEPR DIADEM (a public funding program on the development of innovative materials using artificial intelligence). The relevant
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generalized parton distributions (GPDs). A key component of the PhD will also involve the development of novel algorithms designed to overcome current computational and theoretical challenges in hadron
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, optimisation of chromatographic conditions, development of a comprehensive standards database) and will perform metabolomics studies in human, cellular and animal samples. He/She will contribute
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Transitions of Self-Organized Embryonic Systems Gastrulation is a crucial stage of embryonic development, during which an initially homogeneous tissue organizes into distinct cellular layers. Our team recently
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investigating innovative wavefront sensing concepts (e.g., hybrid architectures or AI-assisted sensing strategies). • Contributing to the development and evolution of experimental adaptive optics platforms
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. The project is structured around two main components: i) Development of new tools based on eDNA and dPCR to improve the monitoring of freshwater pathogens ii) Study of the emerging pathogen Tetracapsuloides
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collaborate closely with experimental partners (ICCF, IJL, IC2MP, and Syensqo) to validate computational predictions, ensuring the development of catalysts that are both highly active and stable under harsh
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Plasmonic catalysis has been a rapidly growing research area since the 2010s. Based on the confinement of light within metallic nanoparticles, it holds great promises for the development of sustainable
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in phononic, photonic, and plasmonic nanostructures/crystals. The IEMN's EPHONI team, led by G. Lévêque, has contributed to the theoretical development of phononic topological insulators since 2017
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development of the LOTUSIM-Energy simulator and its associated autonomy components. Their main responsibilities will be: - Developing and integrating multi-physics simulation models for maritime, aerial, and