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Field
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package Molly.jl on both CPU and GPU, as well as addressing relevant computational and algorithmic questions. This project is part of the Blue Sky Collaboration between the LMB and AstraZeneca, and will
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, and interacting with pilots and passengers. Operates and becomes familiar with ground support equipment, such as the aircraft tug, ground power unit (GPU), lavatory service cart, de-icing cart, forklift
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. Prior exposure to hybrid analog-digital beamforming architectures. 9. Knowledge of FPGA or GPU-based signal-processing platforms. 10. Experience in THz or sub-mm-wave measurement setups
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transport. Knowledge of low-temperature plasma devices and relevant physics. Theoretical and computational knowledge of the particle-in-cell method. High-performance computing, including MPI, OpenMP and GPU
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systems and environments. Experience managing GPU clusters for AI/ML jobs (e.g. NVIDIA, AMD). Experience with virtualization tools, containers, and/or orchestration (Docker, Apptainer, Kubernetes
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Imperial College Healthcare NHS Trust. The LMS houses a CPU and GPU cluster in addition to making use of wider HPC provisions available from Imperial College. The Bioinformatics Facility works closely with
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even in modern GPU systems. This project investigates neuromorphic sensors and sensor fusion of multiple event-cameras in a real-time human-robot co-working space, where a robotic manipulator (a 7 DOF
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environment with strong expertise in immunotherapies An open, collegial, and supportive working atmosphere in a respectful organizational culture A highly diverse and inclusive workforce Access to our GPU
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metrics and usage statistics, identify inefficiencies on different levels (CPU/GPU, I/O patterns, etc.) and provide corresponding reports. You will work closely with researchers and HPC users and provide
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deployment State-of-the-art computing resources, including high-performance computing clusters and GPU resources for AI/ML research Strong partnerships with Oak Ridge National Laboratory, including access