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analysis and technoeconomic analysis without significant direction from ORNL staff Leverage primary equipment data from both within ORNL and from industrial partners from across the U.S. to quantify costs
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Requisition Id 17078 Overview: We are seeking a Postdoctoral Research Associate to join the Data Science and Engineering for Nonproliferation Group in the National Security Sciences Directorate
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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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Materials Analysis in the Nuclear Nonproliferation Division in the National Security Sciences Directorate at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Develop, validate, and extend
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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
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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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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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(ORNL) is seeking a highly motivated Postdoctoral Researcher with expertise in artificial intelligence and machine learning (AI/ML), remote sensing, Earth and environmental sciences, and the analysis
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for geothermal casing related harsh environments applications. A background in polymer chemistry research or related fields, composite material development, material science, and data analysis is preferred. Strong