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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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Location: South Kensington Campus About the role: Applications are invited for the above post to work with Professor Christos Bouganis and his team at Imperial College London for a project funded by the Commission of the European Communities. The successful candidate will be integral to...
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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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), 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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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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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