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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 8 days ago
arithmetic cores for FPGAs). The team hosts 6 faculty, 6 PhD students, 3 postdocs, 2 engineer, and multiple research interns. Additional information can be found on team website: https://team.inria.fr/emeraude
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, technicians, and staff. Each year, many undergraduate and graduate students, PhD candidates, postdocs, and visiting scientists join its activities. Research at LPS covers a broad range of condensed matter
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-permanent staff (doctoral students, postdocs, associate researchers and interns). The ICS has characterization platforms (UV-Vis and IR spectroscopies, size exclusion chromatography, light scattering, etc
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' genomes model. This 'two-speed' genome model stipulates that the genome is composed of two compartments with different architecture, content and speed of evolution. The first compartment, composed of core
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complementary expertise, using both space and ground-based observations of the solar atmosphere, in-situ measurements from heliospheric probes, in synergy with a complete numerical modeling of the generation and
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macroscopic designs for soft-tissue healing. The project will be conducted using in vitro models of bacterial adhesion and fibroblast proliferation in collaboration with University of Gothenburg and in vitro
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turbulent plasmas and by phenomenological models. The overarching goal of this ambitious programme is to describe the acceleration process across length scales, in the turbulent flow, in the inner jet and in
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intelligent decisions. In particular, when low latency is critical, these models are deployed directly on devices at the edge, close to the equipment itself — a necessary condition for smarter, faster
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chemistry, materials science or equivalent having carried out research in an experimental field related to the thesis. Core competencies: crystal growth thermodynamic modeling chemical and physical
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metabolism in type I interferonopathies within tissues. Using mouse models of these diseases, we will analyze how metabolic alterations contribute to inflammation and tissue damage. We will generate lipidomic