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Field
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to the continuous improvement of research support services across the faculty. This position offers the opportunity to work on a diverse range of technologies, from Linux systems administration and networking to GPU
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of a variety of HPC systems (CPU, GPU, storage systems, file systems, networking, virtualization, job schedulers (Slurm) and scientific applications) Expert knowledge of database, filesystem, networking
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conduct integration testing. • Write technical documentation, deliverables and API references. • Develop materials for AI training program. Where to apply Website https://applications.ucy.ac.cy/recruitment
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
computing environments (e.g., GPUs, distributed training). Experience mentoring graduate or undergraduate students. Special Physical/Mental Requirements NA Special Instructions For information on UNC
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infrastructure, model training, and inference systems. You'll design, develop, and optimize scalable data pipelines and build multi-node GPU training and inference pipelines for foundational models. You'll also
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, TensorFlow) with several years of practice Experience in maintaining high-quality code on Github Experience in running and managing experiments using GPUs Ability to visualize experimental results and learning
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numbers effects beyond what is currently possible. • Perform mathematical and numerical analysis of tensor network methods. • Work on GPU implementation of tensor network solvers. • Disseminate research
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GPU clusters for large-scale analyses. Terms of employment The average weekly working hours are 37 hours per week. The position is a fixed-term position limited to a period of 3 years. The employment is
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supportive team environment that promotes collaboration and knowledge sharing. Access to world-class computational infrastructure, GPU-based computing environments, and unique high-quality cryoET datasets
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feedback; optimize for real-time performance; distribute computations between GPU and device-proximal processors; ensure precise synchronization with visual and auditory stimuli. Real-Time Collision and