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Field
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Summary: Boston Children's Hospital (BCH) Gastroenterology Procedure Unit (GPU), supports a wide array of anesthesia supported diagnostic and interventional endoscopic procedure for both inpatients and
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The Department of Computing wishes to recruit a Cloud and GPU Infrastructure Manager to be responsible for the administration, maintenance, and optimization of both our internal GPU infrastructure
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- into a GPU-enabled and parallel code to run efficiently on state-of-the-art exascale hardware Designing implementations and reviewing community contributions of library features and new statistical
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of research computing at LSE. Your expertise will be key in future-proofing our research hardware environment, ensuring high availability, scalability and security across HPC clusters; GPU acceleration, high
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infrastructures, improving system performance, scalability, and efficiency by optimizing resource usage (e.g., GPUs, CPUs, energy consumption). Researchers and students will explore innovative approaches to reduce
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://careers.temple.edu/sites/careers/files/documents/T_Salary_Structure.pdf Position Summary: The Research Engineer will be responsible for the smooth operation of the VIDAR Lab hardware and software stacks, including GPU
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when necessary. Work closely with ODFM to facilitate request for office and lab access. Manage any IT matters, including IT equipment allocation and support for GPU servers (if required). 2. Support on
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management at scale and GPU technology in virtualised environment are highly desirable. As part of this recruitment we are looking to appoint a Senior Research Infrastructure Developer with specialisations in
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), transformers, etc. Experiencia entrenando modelos en GPUs. Control de versiones con Git. Manejo de aplicaciones ofimáticas (ver apartado de requisitos específicos). \\ Working knowledge in convolutional neural
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the U.S. (https://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