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Field
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, or population genetics Deep learning for sequence, EHR, or imaging data High-performance and GPU computing environments Excellent candidates from adjacent quantitative fields are encouraged to apply. The Research
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the speed up from using GPUs as well as machine learning techniques, e.g. simulation-based inference. Finally, we will use similar techniques to make a statistical inference of the population of subhaloes by
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humanity. • Access to state-of-the-art facilities, including extensive departmental CPU/GPU computing resources and Imperial’s Research Computing Service. • A vibrant, interdisciplinary research culture
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opportunity for someone seeking to develop their knowledge and skills in system administration, service development and technical support. In this role you will assist with management of the School’s GPU
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have access to substantial AI compute, including in-house state-of-the-art H200 GPU servers, alongside further capacity through the Norwich Data Centre and access to national-scale AI compute through
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to substantial in-house H200 GPU infrastructure, further capacity through the Norwich Data Centre and routes to national-scale AI compute such as Isambard-AI. Collaboration with the Earlham Biofoundry will provide
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into robust, maintainable analysis tools and pipelines Implement and optimize large-scale deep learning workflows on GPU-enabled High-Performance Computing (HPC) environments Prototype using emerging computer
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opportunity to advance your academic career at a world-leading institution dedicated to using science for the benefit of humanity. Access to state-of-the-art facilities, including extensive departmental CPU/GPU
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the group, translating cutting-edge deep learning algorithms into robust, maintainable analysis tools and pipelines Implement and optimize large-scale deep learning workflows on GPU-enabled High-Performance
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clusters, GPU-enabled systems, job schedulers (e.g., Slurm), and parallel computing workflows supporting simulations, bioinformatics, machine learning, or large-scale data analysis Experience managing