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textures, both 2D and volumetric • Efficient algorithms and representations for real-time processing, particularly on GPUs. Where to apply E-mail recrutement.e-c@grenoble-inp.fr Requirements Research
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leverage massive investments and developments from the commercial technology sector, creating unprecedented opportunities for advancement. The development of specialized hardware for machine learning (GPUs
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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
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