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concentration analyzer (G2508), Rhizovision Explorer, Shimadzu TOC-L, ICP-MS/OES, and Aqualog for EEMS/UV-VIS. Work closely with modelers and empiricists across multiple disciplines to address project objectives
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performance and detect anomalies Develop AI-driven predictive maintenance strategies to anticipate system failures or performance degradation Use AI/ML methods to optimize thermal system design parameters and
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into nuclear forensics applications. The Materials & Chemistry Group focuses on fundamental chemical and physical science related to nuclear fuel cycle materials in support of national security objectives. MCG
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-assisted model calibration, or pattern detection in large observational datasets) to improve nutrient-cycling representation and reduce predictive uncertainty in models. Collaborate with an interdisciplinary
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-assisted model calibration, or pattern detection in large observational datasets) to improve nutrient-cycling representation and reduce predictive uncertainty in models. Collaborate with an interdisciplinary
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(NSSD) at Oak Ridge National Laboratory (ORNL). The NND performs research and development to detect, characterize, and monitor nuclear fuel cycle activities and nuclear explosions; develops concepts
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universities to address project objectives. Present research results within the project and at national and international conferences, and publish findings in peer-reviewed journals, and datasets in DOE data
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industrial heat pumps). The role also involves research and analysis of technologies and practices for increasing the energy efficiency of the industrial sectors. The primary objective is to deliver the direct
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storage and analysis solutions (e.g., key-value stores, object or document storage, graph analytics systems) deployed on HPC computational and storage systems. Co-authorship of peer-reviewed publications
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scalable applications for future architectures through the use of proxy or mini-applications. Applying large-scale computational methodologies to meet scientific objectives. Conduct research and report