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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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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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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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platform for the study of artificial quantum materials based on large semiconductor quantum dot lattices. By combining extended one-dimensional and bilinear arrays with high-sensitivity RF admittance
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, environment and ecology, transportation, robotics, energy, culture, and artificial intelligence. Presentation of CNRS as an employer: https://www.cnrs.fr/en/cnrs Presentation of IRISA as the host laboratory
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center dedicated to advanced microelectronics, photonics, embedded artificial intelligence, and intelligent systems. The 3IT offers unique infrastructures for the development and characterization of low
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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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devices for neuromorphic computing • Machine learning simulations applied to artificial intelligence tasks • Analysis of the performance, robustness and energy efficiency of the proposed architectures
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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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-house laser training and on-the-job training. Optically active deep defects in the solid state (or color centers) can be seen as artificial atoms. They represent a major interest in quantum