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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 10 hours ago
Posting Description SENIOR HPC SYSTEMS ENGINEER, The Massachusetts Green High Performance Computing Center (MGHPCC ), to support the computing infrastructure behind the Massachusetts AI Hub ’s AI
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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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team. Able to learn effectively and meet deadlines. Proven ability to successfully work on multiple concurrent projects. Intermediate knowledge of HPC/data science/CI. Advanced skills, and demonstrated
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of DiRAC (www.dirac.ac.uk), a UK national facility. This role is primarily responsible for the operation and ongoing development of the COSMA High Performance Computing (HPC) system, supporting innovative
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. Connections working at Johns Hopkins University More Jobs from This Employer https://main.hercjobs.org/jobs/21848486/hpc-sr-scientific-software-engineer-x28-it-x40-jh-research-computing-x29 Return to Search
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. Numerical simulations will be performed on high-performance computing (HPC) infrastructures Where to apply E-mail dima@cert.uniroma1.it Requirements Additional Information Eligibility criteria up to 50 points
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performed on high-performance computing (HPC) infrastructures Where to apply E-mail dima@cert.uniroma1.it Requirements Additional Information Eligibility criteria up to 50 points or the relevance and
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 10 hours ago
Posting Description SERVICE DELIVERY MANAGER, The Massachusetts Green High Performance Computing Center (MGHPCC ), to ensure high-quality, reliable operations of its state-of-the-art HPC environment
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, able to target HPC and the above novel architectures Your Profile: Master’s degree (preferably with subsequent PhD degree) in physics or a related field at the start date (ideally with a background in
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allocations and on-the-fly simulation monitoring. Another aspect that in-situ analysis enables is the use of AI methods for HPC and HPDA. For instance, we can employ unsupervised detection of rare events during