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on representation stability, interpretability, and efficiency.Despite their success, self-supervised approaches and foundation models still lack a thorough theoretical understanding. This project aims to bridge
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. To do this, knowledge or willingness to be trained in advanced statistical modelling, ideally with an interest in methods for causal inference in observational data, is strongly preferred. Using various
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insects in bat guano samples, and how they related to abiotic conditions (weather data). They will apply advanced bioinformatics and statistical methods, contribute to scientific publications, and
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visitors), some 200 people make up this structure, which is managed, in addition to the University of Paris Cités (UPCité), by the CNRS (represented by three of its institutes: mainly IN2P3, but also INSU
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); willingness to learn advanced quantitative methods Good command of written and spoken English Enthusiasm and enjoyment for research and science, strong personal commitment We offer Multilingual and