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include oversight of high-performance computing (HPC), scientific instrumentation support, enterprise applications, and cloud-based platforms. The Manager provides direction for infrastructure services
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 16 hours ago
, mechanical, and data systems; provide tier-one support for Digital Engineering software suites and high-performance computing (HPC) interfaces. Safety & Compliance: Establish and enforce rigorous safety
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 2 months ago
, including high performance computing (HPC) clusters, local or cloud resources, large-scale storage, machine learning algorithms, deep learning techniques, and neural network design Grant Proposal Assistance
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the COST Action InfoGUT project (https://infogut.eu/ ). • PI's UTU profile: https://www.utu.fi/en/people/matti-ruuskanen • PI's Google Scholar profile: https://scholar.google.com/citations?user=anXmb6IAAAAJ
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to the applicant’s academic rank. Candidate must possess good understanding of informatics infrastructures to support highly innovative research within high performance computing (HPC), cloud computing, and secure
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workflow managers, structured pipeline frameworks, containers, or cloud/HPC environments. Experience with Git/GitHub or other version-control systems. Experience with statistical modeling, machine learning
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: CBRAIN is a flexible Ruby on Rails framework for accessing and processing large amounts of data across a distributed network of High Performance Computing (HPC) and Cloud Computing infrastructures. In
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Posting Number R260058 Posting Link https://www.ubjobs.buffalo.edu/postings/61964 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89 Posting
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computing (HPC), distributed compute, or accelerated environments (GPUs, multi-node systems). Solid background in database systems, including: Relational databases (e.g., PostgreSQL / SQL) Graph databases
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, evaluation, and experimentation. Experience working in high-performance computing (HPC), distributed compute, or accelerated environments (GPUs, multi-node systems). Solid background in database systems