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development Complete simulation verification, model validation, uncertainty quantification, and documentation Optimize system and component designs for performance and safety Author peer reviewed papers
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of ceramic microspheres. Additionally, the hired candidate will support experimental investigations aimed at optimization of wet chemistry routes to produce actinide compounds and refractory ceramics
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of the SAM.gov system or other database tools that may potentially interface with Ariba is required. Effectively interface with both internal and external stakeholders to ensure optimal supplier management and
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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
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learning based manufacturing process development and optimization. This position resides in the Materials Joining Group in the Materials Structures and Processing Section, Materials Science and Technology
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emerging at the grid edge, providing essential services crucial to its reliable operation. Employing a diverse range of disciplines such as control theory, optimization, economics, game theory, data
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search out new technologies and techniques to improve design, workflow, and optimization of processes and performance management functions. Operate and communicate effectively and efficiently with all
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such as analyzing time series data for anomaly detection and classification Experience in data fusion and data correlations using orthogonal sensor streams Experience adapting and optimizing data science
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on these topics. Basic Qualifications Ph.D. in Energy/Environmental/Natural Resource Economics or related Applied Economics discipline with a strong quantitative focus. Experience with quantitative optimization
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water optimization products or processes, energy performance contracts and/or utility programs. Experience in implementing or administering learning management systems (LMS). Demonstrated ability