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-Performance Computing for Exascale" contributes to the design and development of numerical methods and software components that will equip future European Exascale and post-Exascale machines. This program is
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, symbiosis, methanogenesis, etc.). - Link events to genomic function and context: functional enrichments, proximity of mobile elements, recombination hotspots; establish predictors of genetic innovation
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supervision of Antoine Guichet, as part of the Polarity and Morphogenesis team, headed by Antoine Guichet at the Institut Jacques Monod. Microtubules are a central component of the cytoskeleton and play a key
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encapsidation. In parallel, the Nano-DMS-MaP method will be used to assess the impact of m6A on RNA structure. In a second part, the PhD student will study the impact of HIV-1 infection on the host cell's
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of quantum technologies and materials synthesis. Dynamism and determination are essential for success in this research. Techniques and Methods The project will involve a multidisciplinary approach combining
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foundations, algorithmic methods, and applications in diverse fields such as industry, healthcare, transportation, and intelligent systems. This research focuses on devising innovative strategies for evaluating
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department at IETR in inkjet-printed OTFT fabrication and is part of the ANR-funded SMOOTH (Stable Metal-free Organic transistOrs Thanks to Homojunction) project, which will start in February 2025 and run
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are considered a key ingredient in the complex mechanisms of solar wind generation. Solar jets, very commonly observed phenomena in the solar atmosphere and occurring over a wide range of spatial and temporal
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relative near-absence near Earth orbit and beyond, SBs are considered a key ingredient in the complex mechanisms of solar wind generation. Solar jets, very commonly observed phenomena in the solar atmosphere
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 7 days ago
induces reduced footprints for processors and less space for the battery. On the audio processing latency front (iii), DNN inference is notoriously slower for real-time audio DSP than “traditional” methods