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Field
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-to-end GPU timing; document limitations and extrapolation behavior. Implement, test, document, and maintain open-source Python/JAX research software; collaborate with researchers to connect trained models
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systems and underwater imaging. 4. Linux system administration and scientific computing workflows, including environment management, GPU-accelerated workloads, and remote/headless operation. 5. Familiarity
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monitoring plugin. Based in the PRISMA Computer Vision lab within the School of Computer Science at the University of Sheffield, the post offers access to high-performance computing and GPU facilities
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take a leading role in the design, deployment, maintenance, and optimisation of large-scale HPC systems, including CPU and GPU clusters, high-performance storage, and advanced networking technologies
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, psychology, economics, political science, social research, engineering, and the humanities; High-performance computing, GPU-enabled workflows, large-scale data processing, research storage, and technical
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functioning in a dynamic technological environment. Preferred Qualifications: Experience with parallel computing, GPU operation (CUDA Toolkit), multi-GPU training, and distributed frameworks for machine
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for career development Access to high-performance computational resources (with GPUs) A collaborative environment across research fields, including plant biology, quantitative genetics, and population genetics
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infrastructure, making our environment highly heterogeneous. This means we get to work with a range of hardware, including the latest GPUs (e.g., B200, RTX 6000 Blackwell Pro, H200) and CPU architectures
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candidates hold a Master’s degree in Informatics, Mathematics, or a related field, and possess strong expertise in linear algebra, GPU architectures, and programming in C++ and Python. This is a 100% TVL E13
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, or approximate computing. Knowledge of hardware security, fault tolerance, dependable computing, or hardware reliability. Experience with GPU, FPGA, embedded, or specialized AI accelerator platforms. Experience