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The successful candidate will join the Climate Physics team at ENS de Lyon (https://climatephysics-ensl.fr/ ), which currently consists of 5 permanent researchers, 7 PhD students and 2 postdoctoral researchers. We
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, there is a strong demand for the development of non-invasive methodologies, able to probe chemical gradients in the vicinity of individual nano objects in operando conditions. In this PhD thesis, we plan
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such as selecting and designing appropriate security definitions and detecting vulnerabilities. More broadly, the PESTO team focuses on developing formal methods to prove protocol security and has
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PhD in organic chemistry (M/F) – Development of self-optimizing flow reactors for chemical reactions
from NMR analysis (in collaboration with the team of Dr. J. Farjon). The PhD student will also strongly interact with the team of chemical synthesis. This project is part of the team's efforts
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of heritage mediation. The objective of the proposed PhD project is therefore to design a hybrid scientific architecture combining generative AI, heritage ontologies, reinforcement learning, and probabilistic
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for the heliophysics component, and LISN in Orsay for the computer science and natural language processing component. Status meetings every two weeks, alternately at LIRA in Meudon and at LISN in Orsay. The PhD thesis
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. The developments will also aim to extend existing approaches, which are often restricted to integrated quantities, to the reconstruction of complete statistical fields. The ultimate goal is to design a goal-oriented