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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 14 hours ago
multiple tunneling processes to concurrently explore complementary regions of the Pareto front and exchange selected Pareto local optima. Implementation and scalability analysis of parallel tunneling
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Inria, the French national research institute for the digital sciences | Grenoble, Rhone Alpes | France | about 14 hours ago
the Thoth project team (https://thoth.inrialpes.fr/ ) within the Inria Centre at Université Grenoble Alpes (https://www.inria.fr/en/inria-center-universite-grenoble-alpes ) to work under the supervision
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cellular mechanisms that maintain sensory system homeostasis, and how disruptions in these processes contribute to sensory dysfunction. The lab employs a broad range of techniques – including viral tracing
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well as undergraduate, master's, and PhD students. Where to apply Website https://ube.nous-recrutons.fr/poste/l4tesmbz1m-chercheur-en-chimie-et-electroch… Requirements Research FieldChemistry » Molecular
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and plasmonic nanoparticles. You will contribute to both technical development and fundamental research. This may include improving parallelized optical detection, integrating optical tweezers with
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and scientific computing. High-performance computing, parallel computing, or large-scale simulation. Software engineering practices, version control, and automated testing. EMT simulation, power system
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released the nRF54L microcontroller series which feature binary ReRAM to replace flash memory at scale. Multi-level operation, however, remains challenging with device-to-device and cycle-to-cycle variation
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the development of system-level digital-twin and optimization methodologies—integrating electrolyzer models with renewable generation, power electronic conversion, energy and hydrogen storage, downstream processes
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the 1970s and 1980s; and its longer-term methodological and conceptual impact. The historical research is intended not simply as a parallel study, but as a source of conceptual insight for the contemporary
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to research on some of the following themes: New algorithms for parallel/distributed AI/ML Hardware-aware and resource-efficient partitioning for parallel/distributed AI/ML Optimization of process-to-process