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, postdocs, and graduate students. Fellows will have access to the AI Lab GPU cluster (300 H100s). Ideal candidates will have a strong interest and proven experience in designing, understanding
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) for reproducible research workflows. Support Optimising GPU-accelerated workloads (e.g., PyTorch, TensorFlow), including multi-GPU scaling and distributed training. Develop training materials, documentation, and
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experiments using tools such as JupyterHub, and Kubernetes. Experience designing and operating massive-scale GPU and combining CPU/GPU workloads across these services. Design and debug platforms and will work
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tools such as JupyterHub, and Kubernetes. Experience designing and operating massive-scale GPU and combining CPU/GPU workloads across these services. Design and debug platforms and will work closely with
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Institute. They will interact with DataSig’s scalable computation objective of extending our RoughPy framework to support GPU/FPGA acceleration for real-time stream processin. The successful candidates will
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. The researcher(s) will be provided access to state-of-the-art supercomputing facilities with advanced GPU and data storage capabilities. Additionally, opportunities will be available for collaborations. Duties
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science, mathematics, statistics, computational linguistics, physics, electrical engineering, or similar with good grades PyTorch skills: experience in training machine learning models with one or more GPUs; ability to
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the Northern 8 cluster, members of Durham University can also submit projects to the Tier 2 supercomputer Bede (32 IBM Power 9 dual-CPU nodes, each with 4 NVIDIA V100 GPUs and high performance interconnect
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, superconductivity, cryogenics, or microwave electronics. Additional experience beyond the PhD is not required. US citizenship is not required. What we offer State of the art on-site high performance/GPU compute
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UK biobank data and human imaging would be desirable. The applicant should have proven programming experience including Python and R as well as using HPC and GPU environments. The post offers