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Field
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rechargeable batteries. In this context, one of the challenges involves optimizing the electrolyte, which determines the stability of the metallic anode, the electrochemical window, and interfacial processes
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. The project will involve: • Synthesis and characterization of proton-conducting ceramic materials and composite electrodes. • Development and optimization of acid-base infiltration protocols for surface
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, economic, or social constraints. Heudiasyc's research is organized into three specialized teams: CID: Knowledge, Uncertainty, Data SCOP: Reliability, Communication, Optimization SyRI: Robotic Systems in
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frame, the postdoctoral researcher is expected to: develop and optimize sol-gel chemical formulations to obtain stable and stoichiometric multimetallic oxide thin films; familiarize with
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. Personalized Federated Diffusion with Privacy Guarantees. 2025. [8] Fang et al. GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization ICCV 2023. [9] Bonawitz et al. Practical Secure
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 2 months ago
small batteries do remain to be overtaken. These challenges can be summarized as: (i) computational efficiency/optimization, (ii) power efficiency, (iii) audio latency, and (iv) programmability
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Laboratoire National de Métrologie et d'Essais - LNE | Paris 15, le de France | France | about 1 month ago
reference data generation here is to state the optimality conditions for the considered mathematical formulation and then derive datasets that perfectly meet these conditions. To investigate and develop
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dry-lab scientists in experimental design and sample collection for optimal analyses. Presentation of the progress of the project to team members. Attendance to international conferences for data
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digital tools for the design and optimization of sustainable agroecological orchards, integrating environmental constraints and enabling the exploration of innovative strategies for varietal selection and
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), drives technology transfer and innovation in embedded systems. The Embedded Artificial Intelligence Laboratory (LIAE) specializes in designing optimized AI solutions for embedded environments, with a focus