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Field
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) specialization such as cluster management, parallel computing, and performance optimization. Hardware and software: The ability to deploy, administer, and monitor hardware and software components
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extensive experience in HPC architecture, cluster management, and parallel computing, with a proven ability to work within highly secure and regulated environments. This role involves close
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. Keywords Image processing; Machine learning, Computer vision; Statistical methods; Parallel and distributed computing; Software engineering; Standards; Eligibility citizenship Open to U.S. citizens level
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and cloud computing. Documented ability to teach operating systems. Documented ability to teach compiler construction. Knowledge of parallel programming. Experience of software development or cloud
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, and parallel computing, with a proven ability to work within highly secure and regulated environments. This role involves close collaboration with security teams, scientists, and IT leadership to
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. We are looking for candidates with extensive experience in HPC architecture, cluster management, and parallel computing, with a proven ability to work within highly secure and regulated environments
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assistant professor or associate professor whose research advances parallel and high-performance computing. Relevant areas include computer architecture, operating systems, compilers and the
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parallel codes. Experience with using high performance computing for lattice model simulations. Experience working in a multi-disciplinary research environment. Demonstrated written and oral
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-performance computing resources, storage capacity, and data services. NAISS is hosted by Linköping University and has 12 partner universities across Sweden. We are looking for two AI Infrastructure
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commercial CFD codes such as STAR-CCM+, ANSYS or COMSOL. Knowledge of finite element simulations methods. Experience using parallel Linux computing platforms, parallel job submission scripts, common