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-performance computing resources designed for data-intensive and AI-driven research: High-Performance Computing (HPC) Cluster: ~4000 CPU cores with 5 TB RAM, suitable for high I/O and large memory workloads
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resources to researchers at the University of Chicago. It is dedicated to enabling research by providing access to centrally managed High-Performance Computing (HPC), storage, and visualization resources
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di Torino, IMT Lucca), key industrial players (Leonardo), and access to CINECA’s HPC infrastructure through the national AI Factory. Call for Founding Heads of R&D Labs AI4I is launching the second
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(HPC) Cluster: ~4000 CPU cores with 5 TB RAM, suitable for high I/O and large memory workloads. Mass Data Storage: 2.5 PB of networked storage, plus an additional 150 TB high-speed SSD storage for fast
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some design. Excellent communication skills, experience in using HPC systems and scripting, and UDF writing, would be advantageous. About Us As a specialist postgraduate university, Cranfield’s world
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. Julios Saez-Rodriguez at the European Bioinformatics Institute (EBI) as part of ProtAIomics, a Horizon Europe MSCA Doctoral Network (https://www.protaiomics.eu/ ). In this project, we will design a
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their computational, data storage, networking, specialized hardware, software, and service requirements; recommend and facilitate access to appropriate IT solutions, including high-performance computing (HPC) clusters
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, which has real scientific impact, and is interested in learning or improving their skills in web technologies, big data, and HPC. Additionally, you will demonstrate the following: Essential Criteria: A
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the comprehensive rewards package. The Cardinal at Work website ( https://cardinalatwork.stanford.edu/benefits-rewards ) provides detailed information on Stanford’s extensive range of benefits and rewards offered
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 2 months ago
External Tasks for HPC/ML In Transit Workflows, Amal Gueroudji, Julien Bigot, Bruno Raffin, Robert Ross. Work workshop at Supercomputing 23. https://hal.science/hal-04409157v1 Damaris: How to Efficiently