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Berkeley Lab’s Applied Mathematics and Computational Research Division has an opening for a Computer Systems Engineer 3 - Optimization and AI for Scientific Discovery to develop and apply machine
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Applied Mathematics and Computational Research Division has an opening for a Computer Systems Engineer 3 - Optimization and AI for Scientific Discovery to develop and apply machine learning, agentic AI
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optimization of electrolysis from the cell to the stack requires automated monitoring, analysis, and control of the operating parameters and processes. As part of this project, high-throughput experimental
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degree in chemical engineering or similar field (essential). Strong background in chemical process modelling and design (essential). Prior experience with process optimization (desirable). Prior experience
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use through efficient heat exchange, waste heat recovery, and optimized process conditions. Assess and reduce environmental impacts, such as greenhouse gas emissions. Validate models with literature and
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, flexibility, and operational efficiency of existing battery recycling processes. Specifically, it aims to improve and optimize cost and recovery efficiency of existing scaled recycling technologies and develop
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Systems Unit, looking for talented and motivated candidates to work on Power System Operation, Control and Optimization. Tasks Description: Lead one or several research lines (including projects) in power
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This research focuses on developing and evaluating methodologies for the optimal design of control charts within the framework of Statistical Process Control (SPC). The study aims to determine the
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/Optimization research group within the Department of Mathematics. The successful candidate is expected to establish a research and teaching focus in optimization. The Department is looking for a candidate with
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the installation and activation of software applications. Process optimization, risk mitigation, strategic initiatives Works closely with organizational leadership to optimize software licensing and deployment