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secretion systems (T4SS). The laboratory provides all the equipment required for the project, including standard microbiology facilities (L1 and L2) and biochemistry equipment (AKTA pure), GPU computing
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haute performance (GPU, clusters) appréciées. Qualités personnelles : • Intérêt pour les problématiques interdisciplinaires et volonté d'interagir avec des biologistes et des spécialistes de l'imagerie
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technological platforms on site. The PhD student's work will be carried out at the IGBMC's integrative biology center. He/she will have privileged access to the team's computing server (GPU node) and the
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server equipped with last generation GPUs. • Structural characterization by X-ray protein crystallography and/or cryo-EM. • Functional and biophysical characterization in vitro of enzymatic activities
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scientific computing. You are proficient in several languages (Python, C/C++, or Fortran), with extensive knowledge in AI/ML and parallel programming (GPU, multi-threading, etc.). You have strong software
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provided with the working material (working station, PC and access to local GPU clusters) as well as with a discounted rate for the close-by Inria canteen, together with a gross salary of 2650 euros/month