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-house codes and making use of high-performance computing (HPC) tools. Position Requirements Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years) in mechanical, aerospace
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in GPU programming one or more parallel computing models, including SYCL, CUDA, HIP, or OpenMP Experience with scientific computing and software development on HPC systems Ability to conduct
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response Demonstrated expertise in process development/optimization for macro-scale deformation in AM Experience with multi-physics simulations on high performance computing (HPC) and maching learning (ML
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Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning, parallel storage systems and scientific
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 10 hours ago
data using Python, R, etc. Preferred Qualifications, Competencies, and Experience Desired qualifications are a) atmospheric and aerosol chemistry, b) proficiency in HPC, and working in a cloud computing
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verbal communication skills, with a strong record of publications in relevant fields. The ideal candidate should have at least 1-2 peer-reviewed research papers published in prominent HPC venues (e.g., SC
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-performance computing (HPC) systems. Proven track record of interdisciplinary collaboration on research projects. Strong publication record in relevant fields such as environmental science, data science, or