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, free from the imperfections of the resistive model and well-suited for NIS. We are seeking a Ph.D. student passionate about materials science, microelectronics, and artificial intelligence to develop
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Generation for Individuals with Cognitive Impairment. In the 34th International Joint Conference on Artificial Intelligence (ECAI 2025). * Ledoyen F., Dias G., Pantin J., Maurel F., Lechervy A., Chahir Y
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discrepancies with experimental data. The project proposes to enhance the predictive power of these models by integrating deep-learning techniques. It builds on the DINo (Deep-learning Intelligence for Nuclear
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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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, nanomedicine, advanced characterization techniques, synchrotron science, automation, and artificial intelligence for materials discovery. The project will establish quantitative process-structure-property
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São Paulo, Brazil. The PhD candidate will join LAMIH UMR CNRS 8201, a research laboratory with strong expertise in automatic control, intelligent transportation systems, autonomous and electrified
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, IRISA is a laboratory of excellence whose scientific priorities include bioinformatics, system security, new software architectures, virtual reality, big data analysis, and artificial intelligence
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en Informatique de Lens. The CRIL is a research lab situated in Lens, specialized in different aspects of artificial intelligence. The aim of proof complexity is two-fold: originally, it was thought as
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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