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                missions within the framework of this ERC: i) to develop new models for the geometry of the cosmic web, taking into account the bias of baryons, and ii) to implement “nulling” techniques to predict the weak 
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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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                of massive galaxies. A series of zoom-in cosmological simulations has been developed by the collaboration in order to understand the physical processes governing the extreme phases of early mass assembly in 
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                develop an end-to-end processing system as well as a hazard map visualization (Web and/or GIS); Publishing the various scientific advances in conferences and peer-reviewed journals. Where to apply E-mail 
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                (Excellence label, Normandy Region; 3.5 months), followed by the SunToH2 project (Labex, 12 months). These projects aim to develop efficient photocatalysts under visible light, for CO₂ valorization and hydrogen 
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                of understanding cirrus clouds in climate studies. We are seeking postdoctoral researchers to contribute to our mission of advancing knowledge on how aerosols influence cirrus formation and evolution under both 
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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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                of understanding cirrus clouds in climate studies. We are seeking postdoctoral researchers to contribute to our mission of advancing knowledge on how aerosols influence cirrus formation and evolution under both 
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                post-doctoral researcher to work on adapting the hardware footprint, and in particular the memory, of traditional virtualized servers such as web servers, databases, or streaming servers, for example 
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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