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Requisition Id 16761 Overview: As a Senior HPC Architect at Oak Ridge National Laboratory (ORNL), you will lead the architecture, design, and evolution of high-performance computing platforms
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. The applicant should have high proficiency with scientific computer programming in Python, Julia, R and/or MATLAB, parameter estimation methods and HPC simulations. Experience with dynamical systems theory and
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for exploring solutions to some of today's most challenging problems. As an HPC Linux Systems Engineer, you will work within the HPC Scalable Systems Group inside of the NCCS Systems Section to support numerous
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traditional Linux engineering role. You will operate at the intersection of advanced Linux architecture, cybersecurity, HPC, AI/ML, and classified computing, leading complex technical efforts and shaping secure
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. The applicant should have high proficiency with scientific computer programming in Python, Julia, R and/or MATLAB, parameter estimation methods and HPC simulations. Experience with dynamical systems theory and
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, ideally using HPC resources and molecular simulation tools relevant to surfaces, porous materials, aqueous systems or nutrient adsorption. Knowledge of soil chemistry, environmental chemistry or fertiliser
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About the Role The primary duty of this role is to provide support for the operating systems, applications and services running on the ITS Research facilities. This covers the HPC cluster, various
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 23 hours ago
Computing (HTC) as well as High Performance Computing (HPC). Responsibilities of the Linux Systems Administrator include leading and contributing to a variety of areas within Research Computing related
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competent using the Unix/HPC CLI. Experience in genome sequencing, assembly and annotation, micro- or macro-algae or plant genetics or breeding are desirable. You should be comfortable working in silico as in
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• Expertise in using or supporting computational science and engineering, data analysis, and artificial intelligence applications and libraries in different HPC environments. • Demonstrated ability to support