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Field
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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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modeling). Experience working with HPC/GPU resources and job schedulers (e.g., Slurm) and/or cloud-based deployments. Track record of contributing to peer-reviewed publications as a computational specialist
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the advent of 5G/6G networks, the Internet of Things (IoT), and edge computing. This evolution enables services to be deployed across the edge-network-cloud continuum [1], leveraging heterogeneous
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critical role in defining the future of research and administrative computing at the University. In this role, you will lead the architectural design and deployment of secure, scalable AI platforms
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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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-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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(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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, procurement, and deployment of High-Performance Computing (HPC/GPU) clusters and high-capacity data storage infrastructures in strict compliance with Spanish and EU public procurement regulations. Data
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heterogeneous (CPU/GPU) computing models. Collaborate with physicists, computer scientists, mathematicians and engineers across LBNL divisions to define software requirements, implement robust solutions, and