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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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), 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 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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emerging models by collaboratively exploring various computation models leveraging physical devices properties. This PhD work will focus on FPGA devices in order to build an accelerated spiking neural
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model that explains lattice distortions and branching mechanisms. (4) Analyze experimental data using advanced computational tools and present results in research meetings and scientific publications
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interpersonal skills and be rigorous and organised in his/her work. Experience in molecular/cellular biology and murine models is required. Experience in omic approaches,single cell RNA-seq technologies and
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modelling or numerical simulations. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7342-MARBRA-012/Candidater.aspx Requirements Research FieldEngineeringEducation LevelPhD or equivalent
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 3 months ago
of DMA buffers). Identifying common unsafe patterns or assumptions in the use of kernel APIs. Exploring tools (e.g., static analysis, symbolic execution, model checking, formal specification) to verify
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experimental development, physicochemistry, and multiscale modeling for the implementation of innovative extraction technologies aimed at processing complex, polymetallic, and unconventional resources while