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Facility computing infrastructure supports the diverse needs of over 2,500 researchers in the six UC Davis colleges and schools, totaling some 48,000 CPUs, over 200 GPU nodes, and dozens of petabytes in user
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large biological datasets in GPU-based computing environments. Because this is a team project, we value a clean shared codebase and git-based collaborative workflows. What we provide: A competitive
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cardiology research with cutting-edge AI methods Top-Tier Mentorship: Collaborate with leading experts in AI, visualization, and medicine Compute Power: Access state-of-the-art GPU clusters and high
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infrastructure supports the diverse needs of over 2,500 researchers in the six UC Davis colleges and schools, totaling some 48,000 CPUs, over 200 GPU nodes, and dozens of petabytes in user data storage. Each
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dynamics, targeting large-scale systems equipped with GPUs and other accelerators. Key research topics include mixed-precision numerical methods, integrating machine learning into computational workflows
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, implementing efficient monitoring of the various deployments using Grafana and Prometheus and the autoscaling of compute nodes for CPU and GPU workloads across various cloud providers. Key responsibilities will
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Assistant Professor in Environmental Microbiology and Viromics of Danish Peatlands (3 year position)
. The Center has state of the art equipment within DNA and RNA sequencing, laboratory automation, CPU and GPU compute resources, proteomics, metabolomics, and advanced microscopy. This position offers
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. • Knowledge of parallel computing and use of GPUs are desirable. • Supervision and teaching experience is an advantage. • Expertise in dynamical modelling and stellar spectroscopy are assets. • Presentation
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. • Knowledge of parallel computing and use of GPUs are desirable. • Supervision and teaching experience is an advantage. • Expertise in dynamical modelling and stellar spectroscopy are assets. • Presentation
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- into a GPU-enabled and parallel code to run efficiently on state-of-the-art exascale hardware Designing implementations and reviewing community contributions of library features and new statistical