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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 4 days ago
of DMA buffers). Identifying common unsafe patterns or assumptions in the use of kernel APIs. Exploring tools (e.g., static analysis, symbolic execution, model checking, formal specification) to verify
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and optimize specific functions. The ICMCB carries out fundamental research on model materials and/or materials with potential applications. The ICMCB is a UMR with an average of 280 agents (permanent
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since its discovery 150 years ago, due to a lack of model species 2,3. The candidate will use a combination of genetic tools to identify the molecular machinery responsible for chromosome fragmentation in
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the development and activity of human beige adipose tissue. We will use a human beige adipose tissue organoid model recently developed by the team from cells derived from the vascular stromal fraction of human
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environment featuring a wide range of research activities, including QM/MM simulations, ionic liquid simulations, and excited-state characterization. The aim of this PhD thesis is the atomistic modeling
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observed in Drosophila larvae. This interdisciplinary project combines biology, neuroscience, and computational modelling to understand how the larva’s body’s physical properties influence its motor control
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), and advanced high-pressure techniques. Experience with vacuum systems, lasers, spectroscopy, or numerical modeling (e.g., plasma or molecular simulations) will be considered an asset. The candidate will
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software and models will be developed for data processing and analysis. Finally, the instrument capabilities will be evaluated using protocols and reference samples previously developed for this purpose in
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models is a strong plus Familiarity with super-resolution imaging techniques and/or proteomics workflows is a strong plus Strong computational and organizational skills, with attention to detail High level
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 4 hours ago
solution for deploying accessible embedded AI-based real-time audio DSP systems will be explored. Smartphones provide a large amount of computational power (including AI accelerators in some recent models