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Field
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Data (CRCD), which operates a large multi-thousand-core cluster with GPU co-processors and PhD-level consulting staff. Pitt ECE also leads the NSF Center for Space, High-performance, and Resilient
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/SCI Clearance Master’s degree Training and optimizing ML algorithms on GPU hardware architectures, specifically NVIDIA based Working with geo-spatial data Statistics, multivariable calculus, and linear
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of CPU and GPU resources to maximize model performance, scalability, and portability. A particular focus of the position will be a dedicated project to prepare, optimize, and benchmark the code
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innovative software solutions to climate modeling problems that represent the state-of-the-art in high-performance computing and are performant on GPUs. Contribute to the design, performance specification, and
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. The Directorate comprises the International Office, led by the Deputy Director International; the Global Partnerships Unit (GPU), led by the Associate Director Transnational Education (TNE); DMU Global; and the
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humanity. • Access to state-of-the-art facilities, including extensive departmental CPU/GPU computing resources and Imperial’s Research Computing Service. • A vibrant, interdisciplinary research culture
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Full time, fixed term until 31st January 2028 Opportunity to lead and shape a flagship, university-wide AI and GPU compute capability supporting cutting-edge research Base Salary $162,528 + 17
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for GPU-based AI workloads, with control at the level of transformer blocks and attention layers. • Design and build a high-resolution (microsecond-scale) performance monitoring framework to capture
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opportunity for someone seeking to develop their knowledge and skills in system administration, service development and technical support. In this role you will assist with management of the School’s GPU
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opportunity to advance your academic career at a world-leading institution dedicated to using science for the benefit of humanity. Access to state-of-the-art facilities, including extensive departmental CPU/GPU