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challenges and conduct the research needed to accelerate the delivery of solutions to the marketplace. The Reactor and Nuclear Fuel Cycle Analysis Group (RNFCA) Group is seeking candidates to apply
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Requisition Id 17068 Overview: For this role, we are seeking an enthusiastic postdoctoral researcher to further develop their expertise in both lifecycle analysis and technoeconomic analysis
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/analysis. Experience working in Agile/SCRUM teams. Excellent written and oral communication skills. Motivated and conscientious self-starter with the ability to work independently, follow-up on all action
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Landscape analysis and modeling, with a focus on training and application of predictive machine learning tools. This researcher will synthesize regional-scale remote sensing imagery and ecological monitoring
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biogeochemistry. Experience applying machine-learning or AI methods to environmental data analysis, model calibration, or model-data integration. Experience synthesizing multi-source, multi-scale observational
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biogeochemistry. Experience applying machine-learning or AI methods to environmental data analysis, model calibration, or model-data integration. Experience synthesizing multi-source, multi-scale observational
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of projects related to electrochemical analysis, surface specific spectroscopy, and battery materials for vehicle and aircrafts. Applicants are expected to perform experiments to direct and control
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-time data acquisition and telemetry systems Familiarity with cloud computing platforms and edge deployment of ML models Experience with uncertainty quantification, sensitivity analysis, or robust
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evolution, phase stress, and defect evolution using advanced data analysis tools. Perform alloy fabrication and processing (e.g., arc melting, heat treatment) and relate processing to performance. Apply
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, SEM, or Raman. Perform data analysis of mass spectrometry (i.e., GC-MS, LC-MS, SIMS) and microscopy data sets and coordinate between experimental studies and theoretical simulations. Communicate