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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
management of a state-of-the-art medical imaging research data center. The environment includes a robust multi-CPU/GPU architecture with virtual and physical servers, supporting advanced parallel computation
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techniques. Preferred Qualifications: Knowledge of HPC matrix, tensor and graph algorithms. Knowledge of GPU CUDA and HIP programming Knowledge on distributed algorithms using MPI and other frameworks such as
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the Alps supercomputer at the Swiss National Supercomputing Centre (CSCS), which features over 10,000 NVIDIA Grace Hopper GPUs, making it one of the most powerful AI-focused computing resources in
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://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-july-2025-scales/t13-b.pdf Review timeline: Open until filled Application Window Open date: June 27, 2025 Next review date: Monday, Jul 28
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Ridge National Laboratory (ORNL). This position resides in the AI Operations Program office within the Application Developement Division of the Information Technology Services Directorate. Our AI/ML
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Security (CSRPS) which is part of our M34Impact programme. Joining the Expanding Excellence in England (E3) funded, M34Impact programme you will contribute to tackling major societal challenges affecting
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, postdocs, and graduate students. Fellows will have access to the AI Lab GPU cluster (300 H100s). Ideal candidates will have a strong interest and proven experience in designing, understanding, or engineering
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College, Greenwich, you will be part of the Centre for Safety, Resilience and Protective Security (CSRPS) which is part of our M34Impact programme. Joining the Expanding Excellence in England (E3) funded
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of code to utilize GPU-acceleration on DTU’s high-performance computing cluster or other HPC systems. You will also analyze realistic physical implementations of the architectures you explore, with a
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computing (HPC) systems, including GPUs, and programming, such as using CUDA, MPI, AI/ML/DL, and advanced debuggers and performance analyzers. Familiarity with working on open-source projects. About UF