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Field
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will Identify new applications for Machine Learning in science, engineering, and technology Develop, implement and refine ML techniques Implement parallel ML training on the High Performance Computers
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with high-performance computing, GPU programming, parallel programming, cloud computing, and/or related methods including running numerical simulations of complex workflows. Demonstrated technical
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AI and Advanced Computing (AIAC), AoAIAT integrates elite resources across artificial intelligence, computer science, and electronic and communications engineering to forge an ecosystem where education
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academic unit. Strategically reconfigured from the former School of Advanced Technology (SAT) and the School of AI and Advanced Computing (AIAC), AoAIAT integrates elite resources across artificial
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QUALIFICATIONS 5+ years of experience in systems administration, with at least 3 years in an HPC environment. Experience with parallel file systems (e.g., Lustre, GPFS). Familiarity with cloud computing
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higheredjobs | about 1 month ago
cyberinfrastructure within an academic setting Experience with designing and implementing HPC systems and solutions. Familiarity with parallel computing, distributed systems, and cloud integration. COMMITMENT
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focusing on: Next-generation energy storage systems Power converter design for Power-to-X (PtX) solutions Microgrid applications Quantum computing in power systems And other emerging technologies in
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with a strong background in the following areas: Machine Learning, Deep Learning, Reinforcement Learning, Data Mining; Programming; Parallel programming and High-Performance; Computing; Scientific
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from multiple one-to-many tables, following written specifications, and using SQL or an equivalent data tool. They also process data fields that run in parallel using loops and arrays. The work
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, and development of tools suitable for high-performance computing environments. Experience with parallel computing and workload management systems such as SLURM is highly desirable. Model Calibration