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of programmatic deliverables in numerous areas of nuclear fuel fabrication and characterization. Lead development and optimization of new fabrication methods applicable to actinide and nuclear fuel systems. Develop
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scalability, performance, and alignment with ORNL’s strategic goals and architectural principles and guidelines. Lead the development and optimization of enterprise AI/ML solution frameworks, focusing
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research analysis on geothermal well development and other advanced energy technologies that could achieve transformative gains in energy efficiency. Ability to develop optimization and life cycle models
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numerical models to co-optimize affordability and performance in building envelope components and systems. Perform simulations and laboratory and field experiments to evaluate heat transfer and mass transport
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Postdoc Research Associate - Quantum Materials Synthesis and Characterization, AI-Enabled Automation
real-time diagnostics (RHEED, XPS/XPD, Raman) with AI/ML approaches for autonomous materials discovery and optimization. This will be a highly collaborative position that provides access to facilities
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data science methodologies and techniques, (e.g. supervised and unsupervised learning, feature selection/engineering, hyperparameter optimization, dimensionality reduction, embeddings, etc
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. Monitor and optimize system performance, ensuring uptime and reliability. Perform regular system updates, patches, and backups. STIG checking and systems compliance. Virtualization & Storage: Implement and
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modifications to optimize the battery systems based on outcomes from rigorous electrochemical evaluations. Membrane Testing and Characterizations: Conduct comprehensive testing of membranes specifically designed
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techniques to improve design, workflow, and optimization of processes and performance management functions. Operates and communicates effectively and efficiently with all levels of management on quality issues