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breeding blankets, including computational fluid dynamic (CFD), thermal hydraulic, and magnetohydrodynamic (MHD) analyses. We seek individuals with advanced analytical and computational skills who can use
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-based modeling of hydrological and Earth system processes. The CHAS group conducts world-class research in hydrological and Earth system modeling, large-scale data analytics and machine learning (ML), and
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Requisition Id 15287 Overview: The Manufacturing Systems Analytics (MSA) group at the Oak Ridge National Laboratory (ORNL) conducts applied machine learning, decision science, and multi-modal
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, environmental engineering, chemical engineering, geothermal engineering or a related field completed within the last 5 years. Quantitative and analytical research background which can be applied to conduct
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critical to understanding target behavior during irradiation in the High Flux Isotope Reactor (HFIR). This could also involve development, validation, and deployment of new physical and analytical testing
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research and development efforts aimed at enhancing the resilience of critical infrastructure systems against various threats and disruptions. You will work on advancing analytic methods and tools to improve
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engineering, chemical engineering, or a related field completed within the last five years Quantitative and analytical research background which can be applied to conduct research analysis on advanced
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spectroscopies, or nanophotonics Basic understanding of data analytics techniques. Preferred Qualifications: Experience with spin-based or squeezed quantum sensors. Experience with dilution refrigeration
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tradeoffs, breeding trials across highly variable environments, and functional validation of gene effects. The candidate will (1) apply advanced analytical approaches to integrate existing datasets, (2
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analytical methods to ensure and determine purity of samples being used for molten salt property measurements Leverage database of thermophysical properties and theoretical modeling frameworks to generate