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Kingdom of Great Britain and Northern Ireland [map ] Subject Areas: Applied Mathematics; Pure Mathematics; Mathematical Physics; Statistics; Mathematical Finance Appl Deadline: 2025/11/30 11:59PM (posted 2025/10/28, listed until 2025/11/30
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in the College of Engineering. UNLV GPU Cluster (named RebelX) is also available for A.I. research and education. GPU Cluster, supported by NSF MRI (#2117941), provides high-performance computing
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. Experience managing GPU clusters for AI/ML jobs (e.g. NVIDIA, AMD). Experience with virtualization tools, containers, and/or orchestration (Docker, Apptainer, Kubernetes). Experience processing, managing
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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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techniques that enable the application of eBPF to areas that currently lack direct support (e.g., GPUs, HPC systems, etc.); 2. Development of new eBPF functionalities: exploration and development of new
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with structure and function of microbial communities, primarily related to environmental biotechnology. The Center has state-of-the-art equipment within DNA sequencing, laboratory automation, CPU and GPU
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), with experience in software engineering practices (testing, CI/CD). You have worked with deep learning frameworks (e.g. PyTorch, TensorFlow), ideally in large-scale multi-GPU settings. You have an
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to this classification. It is not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. Summary: The Goodwill Computing Lab seeks a Postdoctoral
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within DNA sequencing, laboratory automation, CPU and GPU compute resources, proteomics, metabolomics and advanced microscopy. Your competencies Documented experience with large scale microbial
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within DNA sequencing, laboratory automation, CPU and GPU compute resources, proteomics, metabolomics and advanced microscopy. Your competencies Documented experience with large scale microbial