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with emerging IT trends related to research and high performance computing and support is expected. This position is part of a team supporting HPC clusters and related systems at multiple campuses, but
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, and tooling support across multiple clustered infrastructures, we facilitate Lab-wide R&D projects. Our HPC clusters range in scope from just a handful of nodes to over fifty-thousand cores. We partner
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center infrastructure and wide-area networking experience. Experience designing and implementing a complete enterprise network infrastructure. Experience with High Performance Computing (HPC) environments
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supercomputer for its dense GPU-based HPC resources to train large GeoAI models and deploy models and create large-scale production datasets for high-impact sponsor missions. Major Duties/Responsibilities: Deploy
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into concrete tractable problems you can solve. Be equally passionate about rigorous mathematical reasoning and hands-on Python implementation (PyTorch, JAX, …) in HPC environments. Communicate clearly in English
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-application enterprise compute servers. This position is the primary system administrator on multiple computational clusters running Linux. They also assist computational researchers in efficiently running
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the causal processes that underlie diseases in diverse populations. Our analytical processes have historically been oriented around high performance computing (HPC) but are increasingly migrating to research
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to the exploration of certain patterns related to combined AI/HPC workflows at large scales - You will collaborate with the application community to identify and specify "proxy applications" that are representative
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vibrant community of AI and HPC practitioners, helping to build networks that accelerate research collaboration and knowledge sharing across the UK's research ecosystem. Who you will be working with
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of handling multiple projects simultaneously involving data from diverse imaging modalities (primarily light and electron microscopy) and scales (super-resolution to large-scale volumetric imaging), while