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the Alps supercomputer at the Swiss National Supercomputing Centre (CSCS), which features over 10,000 NVIDIA Grace Hopper GPUs, making it one of the most powerful AI-focused computing resources in
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development (e.g., PyQt, Tkinter) CUDA for GPU acceleration Scientific computing libraries such as NumPy and SciPy A keen interest in scientific computing, atmospheric sciences, or advanced instrumentation is
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photons) in the CMS Phase-2 high-level trigger. This role offers an exciting opportunity to develop high-performance reconstruction methods by leveraging tracking and calorimeter data, GPU programming, and
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evolve the CMS Software into a distributed application, enabling it to run across multiple nodes and leverage remote accelerators like GPUs and FPGAs with minimal changes to the existing code. Focus will
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scale and scope. An invitation to join an environment like nowhere else on Earth. You will have the opportunity to work with cutting edge technologies (CPUs, GPUs, FPGAs) within the NextGen project and
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with weather and climate models in a Unix environment and expertise in high-performance computing, particularly GPU programming (CUDA, OpenACC) considered a plus. Goal-driven individual capable