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familiarity with Deep Learning, including PyTorch would convey a significant advantage. They will have access to our in-house GPU-enabled High Performance Computing platform as well as national HPC resources
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/GPU architectures and even quantum computing are currently actively explored. Candidates are sought that align with these research areas. A broad interest in teaching topics would additionally be
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documentation, and promote the benefits of our HPC resources across the institution. Collaborating closely with academic staff, researchers, and IT Services, you will ensure the HPC and GPU facilities
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XR facilities including VR/AR headsets, GPU workstations, robotics, 3D immersive wall and 3D motion tracking. For more information about the School please visit our sites at Aeronautical and Automotive
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medicine and drug discovery. The King's AI+ strategic investment recruiting 20 AI focused fellows and adding £2m of next-generation GPU capacity to King's Computational Research Engineering and Technology
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to support model-based control of Deep Brain Stimulation (DBS) and personalised treatment strategies for Parkinson's disease. Develop and optimise scalable data processing pipelines, including GPU acceleration
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developing software in a Linux environment. Experience running numerical experiments on shared HPC facilities (e.g., GPU clusters). Experience in team collaboration in software development and awareness
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cores, including GPU cores, for data processing, analysis and presentation using a wide range of software. What you will be doing… As an SLRS at the Crick, you will: Support Crick users’ cryo-EM research
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us to run large numerical simulations with billions grid points on mixed computer architectures including CPU and GPU machines. A current project is preparing the code set for the next generation of
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developing and implementing very large deep learning models. Familiarity with high performance computing environments (e.g., HPC clusters, GPUs, Cloud resources) and managing Linux based hardware systems