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Field
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://www.rc.ufl.edu/about/hipergator/ ), and the AI NVIDIA GPU SuperPOD (https://news.ufl.edu/2020/07/nvidia-partnership/ ) supporting UF’s campus-wide AI initiative (https://ai.ufl.edu ). These resources are available
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performance computer architectures, specifically GPUs. Responsibilities /Tasks Develop three-dimensional 6-moment gyro-fluid simulation code in particular to include plasma-neutral interactions, multispecies
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Summary/ Department Summary: Nurse Practitioner or Physician Assistant in Interventional Radiology. *Please note this is a non-procedural role. This position is a flex position which will also cover the GPU
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datasets. The Research Associate will: Design and implement high-performance workflows integrating GPU programming, deep learning, and large-scale data integration. Apply advanced methods such as ColabFold
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haute performance (GPU, clusters) appréciées. Qualités personnelles : • Intérêt pour les problématiques interdisciplinaires et volonté d'interagir avec des biologistes et des spécialistes de l'imagerie
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possible. We work with petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing thousands of high-end GPUs. We don’t believe in “one-size-fits-all
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GPU-accelerated codes. A strong publication record in top-tier journals and conferences. Excellent communication skills and a desire to work collaboratively in a team-oriented research environment
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. Innovative visualization tools and highly automated analytical pipelines powered by GPU technology. Mentorship from experienced scientists in data analysis and management, with an expertise in delivering high
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will have access to extensive computing resources, including access to ~100 Nvidia H200 GPUs. Applicants should hold a Ph.D. in computer science-related or biomedical research fields relevant
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and scripting languages. Extensive knowledge of parallel programming techniques, including shared memory and message passing parallel programming, and knowledge of GPU programming. Experience with