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of massive galaxies from the primordial Universe to z~2. This project combines a unique JWST dataset with state-of-the art hydrodynamical simulations and machine learning techniques to understand the origins
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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 Zwicky Transient Facility (ZTF) and develop cosmological analyses with the supernova probe. The successful candidate will devote ~30% of their time to the ZTF group's general efforts to help construct SN
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University of Lille offers a 34-month fixed-term contract researcher position to work on the recently funded project ACCTS (“Assessing cirrus cloud thinning strategies by learning from aerosol-cirrus
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. Fluid Mech., 2022, 2023; Obligado et al., Chemical Eng. Sci., 2025]. Several fundamental questions remain open: What are the mechanisms that govern the formation and evolution of these mesoscale
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University of Lille offers a 34-month fixed-term contract researcher position to work on the recently funded project ACCTS (“Assessing cirrus cloud thinning strategies by learning from aerosol-cirrus
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dialogue between the different spatial scales of the discrete media developed. The successful candidate will be hosted by the 3SR laboratory, a joint research unit of the University of Grenoble Alpes and the
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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