170 structures-"https:" "https:" "https:" "https:" "https:" positions at CNRS in France
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. Characterize the adaptive immune response in vivo (Th1/Th2 profile, CD4/CD8 responses). Study the effect of different RNP structures (monomers, multimers, chaperone-bound complexes) on immune efficacy. Proposed
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, with the goal of linking the photochemical properties of photosensitizers to the structural and functional responses of the skin tissue. Culture human skin cells in 2D (monolayers) and 3D (reconstructed
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%), variable working hours depending on experiments, wearing of appropriate personal protective equipment (PPE) according to experimental requirements. Work environment (specific features of the structure
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to link the results obtained to an understanding of the drivers behind the structuring of the international scientific community around global issues and spaces, such as the concept of "One Ocean " The
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of the fabricated fibers within optical networks. - Design of innovative hollow-core fiber structures using the finite element method. - Fabrication of specific optical fibers on a fiber drawing tower. - Linear
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to detect, image, and analyze ferroelectric domains in 2D ferroelectric heterostructures. You will employ advanced cryogenic micro-spectroscopy, and reflection contrast imaging to visualize domain structures
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(UMR), une structure de recherche commune à plusieurs institutions (CNES, CNRS, IRD, UT). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5126-DOMTAR-034/Candidater.aspx Requirements
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multilayer systems has led to a deep understanding of acoustic phonons in such structures. However, the development of phononic devices operating in the GHz–THz range remains an open area, offering
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instruments: NMR (300, 400, 500 MHz), mass spectrometry (LCMS, HRMS), and X-ray diffraction. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UPR2301-FRABOY-005/Candidater.aspx Requirements Research
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of the hosting team ; - Drafting articles, managing submissions, reproducibility materias and quality control ; - Participate in the collective construction of large corpora and datasets ; - Participate in