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states beyond 2 V to analyze the evolution of charge storage mechanisms. Six-month cycles of simulations and experimental validation will be alternated throughout the PhD to optimize experimental
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investigate optimizing wave control performance by introducing new, potentially topologically protected interfaces for wave conversion and guiding. Given the scalable nature of wave equations, the research will
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RNAvac project (2023-2027), which aims to optimize mRNA vaccine formulations using preclinical models. Responsibilities include: - Developing and implementing experimental protocols in biology and animal
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of numerical precision/instabilities. Different physical configurations of NEMO, either local or global, will be studied. We also plan to optimize the threshold values in NEMO, taking into account the various
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) nanoLC-MS/MS systems. - Evaluate innovative nano-chromatography systems to enhance analysis sensitivity while increasing throughput. - Optimize MS/MS data processing methods and statistical analyses
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can rise towards the surface. The aim of this PhD thesis is to better understand the formation conditions of brines and their volumetric properties.To do so, the candidate will optimize a new
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on experimental data • Identification of material optimization pathways Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5801-GERVIG1-050/Candidater.aspx Requirements Research FieldChemistryEducation
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vector network analyzers (VNAs), they will be carried out in free space using antennas adapted to the different frequency bands. Different opto-mechanical elements will be used to optimize the injection
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researcher to contribute to a project focused on optimizing light diffusion in phase-separated glasses. These glasses, characterized by the coexistence of multiple glassy phases, exhibit a nanoparticle-in
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, especially through secondary electron emission, is a critical phenomenon that can affect device performance. Understanding how these emissions vary with temperature is essential for optimizing the use