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is also the home of the Vermont Advanced Computing Center, a research facility with both high-performance CPU and GPU clusters. The Larner College of Medicine is a short (<5 minutes) walk from
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is also the home of the Vermont Advanced Computing Center, a research facility with both high-performance CPU and GPU clusters. The Larner College of Medicine is a short (<5 minutes) walk from
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contribute to the Safety and Security (S&S) theme of the M34Impact programme, which is led by CSRPS. The successful candidate will have a capacity to conduct high quality research in multiple and coupled
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The ability to develop the business model for sustainable leadership-class computing and manage a complex budget comprising multiple funding sources and time horizons and comprising capital and operating
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development, the national security institute will advance national security in pursuit of a secure America. Within the Institute, multiple motivated applicants are sought to join as Research Faculty to support
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of unparalleled computing resources in the academic environment by optimizing AI/ML models including scaling models across a large set of GPUs; building or optimizing LLMs to tackle new, complex tasks; developing
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Linux kernel internals, computation accelerators (e.g., GPU computing, CUDA), MPI, and OpenMP. Highly resourceful and adept at juggling multiple simultaneous projects. Must demonstrate ability to work
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for multiple-CPU and/or GPU platforms via parallelization schemes. Validating these codes via canonical and real-world examples. Job Requirements: PhD in Electrical and Electronic Engineering, Applied
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and run it efficiently on different hardware architectures. For example, Google has built TensorFlow, a framework for deep learning allowing users to run deep learning on multiple hardware architectures
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to improve software quality, testability, and fault tolerance. Manage multiple projects simultaneously, supporting faculty and postdoctoral researchers in achieving their research objectives. Collaborate with