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programming (Python, C++, etc.) and machine learning and signal processing libraries; You have HPC/GPU computing experience, including running deep learning workloads on compute clusters (CUDA-compatible GPUs
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-impact weather A dedicated computer scientist/software engineer works alongside you to set up ICON-CLM on the HPC systems, support simulations and manage large data volumes—so you can focus on the science
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learning and signal processing libraries; You have HPC/GPU computing experience, including running deep learning workloads on compute clusters (CUDA-compatible GPUs, multi-GPU training, Slurm). Your master's
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is 4 years. The PhD candidate will join COMPSOIL, a dynamic and international research environment, benefiting from the University's high-performance computing (HPC) infrastructure and opportunities