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radiation stresses. Artificial media: Design a structured medium, or acoustic metamaterial, using structural resonances in air to slow wave propagation. The interaction of these waves with a target will again
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translate these discoveries into improved diagnostic, prognostic, and therapeutic strategies. This mission is carried out within a continuum that spans basic research, technological innovation, and clinical
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of this postdoctoral position is to enable the formal verification of security protocols involving non-negligible probabilities. Formal methods have proven their value in the design and analysis of security protocols
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technologies within our laboratory. - Design and develop processes for synthesizing hollow fiber membranes to meet the specific needs of our research and development projects. - Design and develop processes
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offers and actions on https://cluster-ia-enact.ai/ . You will work in a rare environment at the intersection of frugal AI, analog computing, reconfigurable electronics and THz imaging. The PhD is directly
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to innovation for patient care. Jean-Léon Maître, head of the “Mammalian Developmental Mechanics” team (https://institut-curie.org/team/maitre ), is seeking a postdoctoral researcher with a strong interest in
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recreation, ticket sales, etc.) Health Insurance: Mandatory enrollment (unless exempt) in the MGEN plan, with 50% coverage Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8004-PAUBAR-010
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Post-doctoral position (M/F) for testing drought-based BEF relationships at CEFE Montpellier, France
simulation plan and conduct simulations with the Phoreau model, to reach the identified objectives. They will also have to establish transfer functions between model outputs and forest contributions, and carry
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the postdoctoral researcher will use this apparatus with the support of the laboratory's technical staff. The project is funded by the ANR and EUR NanoX. Where to apply Website https://emploi.cnrs.fr
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. In this project, we aim to develop digital tools combining density functional theory (DFT) and machine learning (ML) to accelerate the in-silico design of solid catalysts for the DA process. - Perform