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- CNRS
- CNRS - Institut Lumière Matière
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Field
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to develop chiral metal nanoclusters, understand their chirality at the atomic level through a combination of advanced spectroscopic techniques and theoretical simulations, and apply them to relevant processes
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formation machinery (Grey, Baudat, de Massy 2018). Interestingly, in organisms, where PRDM9 is absent, or in mutant mice for PRDM9, DSBs still form, but they localize at functional genomic elements (FE) such
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for manufacturing chiral metal nanoclusters of different sizes, metal compositions and degrees of chirality (intrinsic and induced). The main objective is to use the nanoclusters designed both as multiphoton imaging
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offering a postdoctoral position in multi-messenger astrophysics related to the KM3NeT, SVOM, and COLIBRI detectors. The main objective is to complete the development and optimization of the KM3NeT neutrino
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which currently consists of 5 permanent researchers, 2 PhD students, 2 postdoctoral researchers. The PhD studies will be performed in the experimental rooms of the propulsion team at LPP in Palaiseau
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around 30 doctoral and postdoctoral students. The position is in a sector subject to the protection of scientific and technical potential (PPST) and therefore, in accordance with regulations, requires your
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chromosomes, is structurally relatively stable between individuals (high synteny), relatively dense in genes and poor in repetitive elements, and evolving slowly. Core chromosomes carry essential genes
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testing, materials analysis by electron microscopy, and more. Rheology and hydration of silico-magnesia cements I. INTRODUCTION I.1 Context. Portland cement, the primary component used as a binder in
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and Electronic Design Design and build the MDAL, its power electronics, instrumentation, and the valve control system. Task 3: Component Characterization Perform “decoupled” characterization
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, symbiosis, methanogenesis, etc.). - Link events to genomic function and context: functional enrichments, proximity of mobile elements, recombination hotspots; establish predictors of genetic innovation