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multidisciplinary team led by Valérie Caps (ICPEES/CNRS Chemistry) and Giovanni Manfredi (IPCMS/CNRS Physics), based at the CNRS Cronenbourg campus. Attached to ICPEES, the PhD student will have access to both
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, the environment and ecology, transportation, robotics, energy, culture, and artificial intelligence. Overview of the CNRS as an employer: https://www.cnrs.fr/fr/le-cnrs Presentation of IRISA as the host laboratory
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with Novel upscaling assisted by artificial intelligence) project financed by PEPR DIADEM (a public funding program on the development of innovative materials using artificial intelligence). The relevant
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of artificial surfaces, built-up area, etc.), with land values in order to then examine the empirical relevance of models from urban economics, which explain residential location choices as a compromise between
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artificial intelligence and genomics. The institute also has high-performance computing infrastructure (hundreds of CPU cores, over 100 TB of storage) essential for processing the massive single-cell
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, engineers, PhD students, and postdoctoral fellows, at the interface between fundamental research, technological development, and experimental validation. Where to apply Website https://emploi.cnrs.fr/Offres
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD will be carried out at LRGP (Laboratoire
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. PhD Project: This PhD aims to theoretically and experimentally demonstrate that "slow sound" media amplify acoustic radiation forces and to explore their applications for particle manipulation. The work
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, 024047 (2025); arXiv:2503.23593 (2025) - Design and lead quantum optics experiments based on the resonant excitation and coherent optical pumping of artificial atoms (semiconductor quantum dots
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD candidate will be hosted at IRCELYON (UMR 5256