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Field
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empowers researchers to solve complex problems through a massive ecosystem of 50,000+ CPU cores, 1,000+ GPU resources, and 50PB+ of storage. At CHPC, we foster a positive, collaborative environment where
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Cluster (Jubail) dedicated to the science division, several GPU-based clusters at NYUAD, and other supercomputer facilities through NYUAD. Applicants should have a PhD in computational astrophysics with
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that serve the entire campus community. You will bridge the gap between high-performance hardware and practical user applications, ensuring that our AI infrastructure, from GPU infrastructure to sovereign data
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/GPU environments. Provide consultative support and training to researchers using BRC AI/ML tools and pipelines. Performs related duties & responsibilities as assigned/requested. Qualifications REQUIRED
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Computer (HPC) with its sizable cluster of CPUs, GPUs, storage arrays and high speed networking as well as our cloud (AWS) based Data Safe Haven, used for researchers working on sensitive data. As Research
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environments, including use of high-performance computing clusters and, ideally, GPU-enabled workflows. *Experience with GitHub, version control, and repository management for collaborative and reproducible
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well as large-scale GPU computing facilities for deep learning. Our Lab aims to hire a Research Associate to lead a research project on Real-World Deepfake Detection and Image Forgery Localization. The role will
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(URCF) at Drexel University is building a new shared computing platform focused on GPU-accelerated workloads, particularly AI model training. The system includes GPU and CPU compute nodes with Nvidia H200
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-performance computing systems, GPU acceleration, and parallel file systems - Ability to communicate fluently in English, both spoken and written Additional qualifications - Knowledge of or interest in
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, Z. Ye, P. Sun, X. Wang, Y. Luo, T. Zhang, and Y. Wen, “Deep learning workload scheduling in gpu datacenters: Taxonomy, challenges and vision,” arXiv preprint arXiv:2205.11913, 2022. [5] J. Lin, W.-M