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modeling and artificial intelligence to enable structure-guided targeting of oncogenic lncRNAs. As a proof of concept, the project will focus on LENT, a lncRNA selectively expressed in melanoma, essential
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physics, artificial intelligence, and Monte Carlo simulations, the project aims to deliver more reliable nuclear models for medical and space applications while contributing to the next generation of data
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of technological disruption driven by Artificial Intelligence, we propose to analyze the data and quantify these similarities by exploring various applications of machine learning methods. With the advancement of AI
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effects, cyclones, the intensification of human activities, and associated disturbances (e.g., mining). On this basis, predictive models using artificial intelligence tools will be developed to anticipate
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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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the rise of generative artificial intelligence, 3D digitization, and immersive environments (XR). These technologies enable new forms of cultural production, including heritage reconstruction, interactive