2 cuda-dresden positions in Switzerland

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  • ETH Zurich | Switzerland | about 14 hours ago

    , CUDA) and good understanding of hardware used in large scale HPC clusters such as hybrid CPU+GPU systems, memory hierarchies and file systems; experience with job schedulers (e.g., Slurm, FLUX) and

  • ETH Zurich | Switzerland | about 2 months ago

    CUDA and scientific computing libraries (e.g., NumPy, SciPy). Workload: Approximately 15 hours per week on average during the semester, with the possibility of increased working hours (up to 40 hours

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