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of these materials and structures. This approach enhances both predictive simulation and inverse design strategies, optimizing the composition and arrangement of materials in the 3D design space. Within
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metabolism in type I interferonopathies within tissues. Using mouse models of these diseases, we will analyze how metabolic alterations contribute to inflammation and tissue damage. We will generate lipidomic
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of electrical topologies (AC, DC, three-phase) and will integrate both standard and atypical wear cases. On this basis, high-performance artificial intelligence models will be developed. By combining neural
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), Biochemistry (production and purification of protein complexes), Structural biology (cryo-electron microscopy and image analysis). The final goal is to build a mechanistic model of substrate recruitment by
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tools • Modeling of devices with the finite element method • Micro-nano fabrication in the IEMN's clean room • Physical / Electrical characterization of devices • Participation in the ANTARES project
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of large datasets, for example: to integrate biological/genomic data with biogeochemical measurements, biogeographic, phylogenomic, comparative, time series (community or population) modelling/analyses
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specializes in computer science and, more broadly, in information and communication sciences and technologies (ICST). Its research activities are organized around several major axes: the modeling and
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beetle as a model system, the candidate will test the hypothesis that sexual selection in females promotes the evolution of female reproductive traits. In addition, the project will take a broader
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potential. The aim of the PhD project is to discover new microproteins involved in the regulation of animal reproduction and fertility, using Drosophila as a model system. By integrating genetic, proteomic
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interventions, creating environmentally sustainable devices, and developing simulators to reduce reliance on in vivo testing. The training network is interdisciplinary, integrating various fields such as