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free text of both biomedical literature and electronic patient records exploiting HPC, including GPUs embedded within NHS infrastructure. Development and deployment of ML operations software and tooling
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, which has multiple test machines with GPUs and AI accelerators. The algorithms used can be bound by the available compute power or memory bandwidth in different parts of the program. This information will
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and computational resources associated with multiple research disciplines. Desirable: B1 Knowledge of scaling and optimising software to take advantage of GPU / HPC infrastructure. B2 Good
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, which is led by CSRPS. The successful candidate will have a capacity to conduct high quality research in multiple and coupled challenges in the following research areas: fire and combustion modelling
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, and execute multiple tasks simultaneously. Regular and punctual attendance in the workplace is required. US Citizen. Applicant selected will be subject to a government security investigation and must
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excellent attention to detail, and possess sound scientific judgment. The position will require effective management of their own time with the ability to plan, coordinate, and execute multiple tasks
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-of-the-art high-performance computing (HPC) infrastructure. In this position, you'll leverage your expertise to support and manage CSHL's AI-driven compute cluster powered by NVIDIA H100 GPUs, empowering
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, Git, Azure Data Studio, pandas, NumPy, and Scikit-learn. Experience with High-Performance Computing (HPC) platforms with advanced skills in SLURM-based multi-node, multi-GPU training, data parallelism
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artificial intelligence. You will work with a diverse group of faculty, postdocs, and students from multiple disciplines, including cognitive science, psychology, computer science, statistics and machine
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the entire northern sky every day and processes over 6.4Tb/s of sky data 24/7 on a large on-site GPU cluster. CHIME is a multi-institutional collaboration with 100+ members. The Scientific Software Engineer