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Field
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Summary/ Department Summary: The GPU is a procedural unit running 5 days a week for both ambulatory and inpatients. The GPU performs a wide range of non-sterile procedures: examples include; therapeutic
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Summary: Boston Children's Hospital (BCH) Gastroenterology Procedure Unit (GPU), supports a wide array of anesthesia supported diagnostic and interventional endoscopic procedure for both inpatients and
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The Department of Computing wishes to recruit a Cloud and GPU Infrastructure Manager to be responsible for the administration, maintenance, and optimization of both our internal GPU infrastructure
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- into a GPU-enabled and parallel code to run efficiently on state-of-the-art exascale hardware Designing implementations and reviewing community contributions of library features and new statistical
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 5 days ago
coupling with adaptive meshes. High-order spectral finite element methods (SFEM) offer superior accuracy per degree of freedom and are naturally suited to HPC architectures (CPU/GPU clusters). Two main
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of research computing at LSE. Your expertise will be key in future-proofing our research hardware environment, ensuring high availability, scalability and security across HPC clusters; GPU acceleration, high
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reproducible computational pipelines for HPC/cloud environments. Experience with AI explainability methods, Git repositories, GPU acceleration, and the ability to draft manuscripts for publication are also
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Data Core services, including high-performance computing pipelines and large-scale GPU resources, to scale LLM development and deployment. Your profile PhD in machine learning, computer science
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languages, and preferably including GPU programming and performance optimisation of code. Prior experience with error correction for communication systems, and the decoding algorithms used, would be
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infrastructures, improving system performance, scalability, and efficiency by optimizing resource usage (e.g., GPUs, CPUs, energy consumption). Researchers and students will explore innovative approaches to reduce