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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 10 days ago
coupling with adaptive meshes. High-order spectral finite element methods (SFEM) offer superior accuracy per degree of freedom and are naturally suited to HPC architectures (CPU/GPU clusters). Two main
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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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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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The recruited engineer will be co-supervised by MdS and Joliot to implement this new approach. To achieve a portable, efficient code that fully exploits GPUs, the core of the code will be developed
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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
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will be considered a plus: Data analysis libraries such as Dask Knowledge and experience with Python, Fortran and/or GPU computing HPC and parallel libraries such as OpenMP and MPI HPC parallel IO