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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
No Position Type Permanent Staff (EHRA NF) Working Title HPC DevOps Engineer Appointment Type EHRA Non-Faculty Position Number 20025114 Vacancy ID NF0009910 Full Time/Part Time Full-Time Permanent FTE 1 Hours
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publication record and experience analyzing large-scale genomic datasets in HPC environments. Applicants must be within 5 years post receipt of their PhD. Terms of employment include a competitive salary and
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biodiverse crops and agricultural practices to mitigate the effects of climate change on global food production: https://novonordiskfonden.dk/en/news/climate-resilient-crops-novo-nordisk-foundation-and-the
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proficiency in coding, at least using Bash and Python. Applicants should maintain their code in a public repository (e.g. GitHub) and include the link in their application. Proven skills in Linux/HPC
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, sex, national origin, disability, or protected veteran status. Connections working at University of California Los Angeles More Jobs from This Employer https://main.hercjobs.org/jobs/22449339/senior-hpc
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outlook, towards lowering the barriers to using advanced computing. Key Responsibilities: Install, configure, and maintain HPC hardware and software, including clusters, storage systems, and networking
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implementation of 4D-Var variational data assimilation techniques using observational data, including ROMS 4D-Var or a comparable system. Experience with large-scale HPC workflows, collaborative scientific
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that make computational science and digital scholarship possible. We are a home for the research technology professionals - research software engineers, HPC systems engineers, dev-ops specialists, data
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experience with advanced methods of theoretical chemistry. Knowledge of and practical experience working in an HPC environment. Knowledge of programming in Python. Experience in processing 4D-STEM datasets
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heat transfer processes Use of advanced numerical methods (CFD, LBM, hybrid models) Utilization of high-performance computing (HPC, GPU) Analysis and validation of numerical results Optimization