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that integrate analog/digital architectures with neuroscience-inspired algorithms Implement and optimize biologically plausible learning rules on FPGA and high-performance computing (HPC) platforms Basic
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and optimize molten salt thermophysical property measurements, develop and utilize theoretical models and frameworks to predict salt properties, molten salt thermophysical property database expansion
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engineering or equivalent field and 0-2 years of research experience. Background in quantitative analysis, mathematical modeling, data science and simulation techniques with expertise in optimization techniques
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journals and conferences. This role provides a unique opportunity to work with the world’s first exascale system, Frontier, and collaborate with leading experts in machine learning, optimization, electric
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on optimization, CI/CD pipelines, and model performance monitoring (e.g., LLM/GPT frameworks). Collaborate with business and scientific teams to identify needs, gather actionable requirements, and translate them
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on parts, availability, and material records Monitor and correct material consumption reports, ensuring accurate backflush and scanning data within the ERP/WMS Optimize warehouse layouts and workflows
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, industrial energy systems, energy efficiency of manufacturing industry, or other related fields. You will play a crucial role in the planning, execution, and optimization of our technical assistance program
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standards and regulations. Are co-optimized with the development of new high-performance materials. Design and develop experimental setups, conduct experiments, and analyze results. Perform simulations
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of production systems. The ETAC Group frequently uses automation and monitoring solutions to minimize our day-to-day maintenance and are always looking for opportunities to optimize system management practices
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four categories: process understanding, process optimization, process prediction, and process control. The MSA group is within the Manufacturing Sciences Division (MSD), which conducts research