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London School of Economics and Political Science | London, England | United Kingdom | about 1 month ago
infrastructure at LSE. This role is responsible for the design, development, maintenance and optimisation of research-focused computing hardware infrastructure, including HPC clusters, GPU acceleration
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in computational modelling of additive manufacturing and develop high-performance GPU-based CFD solvers. Qualifications • With PhD degree • Strong research experience in
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will bridge the gap between high-performancehardware, cloud services, and practical user applications, ensuring that our AI platforms, from on-premises GPU clusters and sovereign data sandboxes to cloud
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) services, AI agent orchestration platforms and GPU-enabled AI infrastructure. Responsibilities: Platform operations and reliability Own day-to-day operations of SEA-LION API Farm, our multi-cloud LLM
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, filesystem performance, networking, and GPU utilization. Help maintain reproducible training recipes, configuration files, launch scripts, and documentation. Work with researchers and CSCS engineers to
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Time (LSST). The Fellow will honor the legacy of Dr. Vera C. Rubin by conducting cutting-edge research using state-of-the-art computational infrastructure—specifically dedicated high-performance GPU
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research computing facilities, including GPU, server and specialised research equipment. Ensure the operational readiness, reliability and effective functioning of laboratory and research computing
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entwickelt und betreibt das PTC Forschungsinfrastruktur für wissenschaftliche Arbeiten unter kontrollierten Umweltbedingungen und im Freiland. In der Greenhouses & Phytochambers Unit (GPU) betreuen
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collaborative technical environment responsible for operating and developing a research infrastructure comprising CPU- and GPU-based HPC systems, petabyte-scale storage, scientific web services, secure
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difference in the transition towards a sustainable future. Subject description This project focuses on the development of GPU-accelerated, high-fidelity thermal runaway simulation models for lithium-ion