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Field
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responsible for: Conducting research on sustainable and resource-efficient AI systems for edge datacentres. Creating hardware-aware search spaces for CPUs, GPUs, and accelerators, and developing multi-objective
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decentralised AI training systems using real-world workloads, GPU infrastructure, and industry-relevant deployment scenarios; and Generate open-source frameworks, algorithms, benchmarks, and research outputs
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scanning, virtual reality and on-demand wide-area surveillance video feeds. In addition Durham University hosts the UK regional supercomputer Bede (128 NVIDIA V100 + 3 NVIDIA Hopper GPUs) in
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-throughput processing. Enhance the computational efficiency of compute environments by optimizing resource allocation (including CPU/GPU utilization), parallelizing data pipelines, and resolving processing
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Max-Planck-Institut für Struktur und Dynamik der Materie | Hamburg, Hamburg | Germany | 2 months ago
computing technologies and accelerator (GPU) computing. Familiarity with scientific software toolchains, including compilers, numerical libraries, parallel programming frameworks, and scientific software
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of machine learning and clinical oncology, with access to a large multimodal research dataset, substantial GPU resources, and a collaborative scientific environment. Your tasks Design and implement LLM-based
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with leading machine learning frameworks and modern AI environments, including multi-GPU model training and large-scale inference on dozens to hundreds GPUs, are required. Additional Qualifications
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infrastructure, including GPU-based systems. Also of importance are: Demonstrated teaching proficiency Type of employment: The position is fixed-term for four years. During the period of employment, an Associate
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to a postdoctoral post, including a rapidly growing AI security lab, a large-scale GPU datacenter containing state-of-the-art foundation models, as well as direct collaboration with an award-winning AI
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departmental CPU/GPU computing resources and Imperial’s Research Computing Service. • A vibrant, interdisciplinary research culture, with partnerships such as the CNRS–Imperial de Moivre Laboratory