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of early-career scientists, aiming to develop innovative and sustainable materials for health and medical technologies. The selected candidate will contribute to advanced research projects on functionalized
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also leading to an increased frequency of climate anomalies, such as heat waves. These temperature changes can drastically modify the phenology of species, their geographic distribution, food webs
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the Quantitative Imaging Platform of Villefranche (PIQv; https://sites.google.com/view/piqv ), which oversees the operation of the tools that the team develops. Those tools include imaging sensors, such as the
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University, is recognized for its expertise in artificial intelligence and formal methods In this stimulating academic context, we will focus on the problem of explainability of artificial intelligence models
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the development and monitoring of the technical aspects of XENONnT, the largest liquid xenon time projection chamber built to date. Specific responsibilities will be defined based on the candidate's expertise and
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of an effective system for rapid and robust storage and optimised processing of large quantities of collected data. 2. Development and improvement of algorithms for processing acquired geophysical data in order to
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-simulation databases opening up the possibility of interpretations by deep learning techniques. A numerical database is provided by the team at CORIA, which is also in charge of developing the optical models
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to produce more accurate simulations and better constrain uncertainties associated with air-sea CO₂ fluxes. Building on a methodology developed for the North Atlantic, this project will extend its application
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gene therapy, vaccine development, and genome-wide CRISPR screens. They a also a promising therapeutic target, as interfering with genome packaging could inhibit viral propagation while reducing the risk
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optimizations are still needed to adapt the translation of these mRNAs to the cell types of interest. As part of a collaboration with Chantal Pichon's team (University of Orleans), this project aims to use