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for the collection of in-situ mechanical testing data. Knowledge of scientific software in python (numpy, scipy, pandas) or related data analysis suite. Record of productive and creative research as demonstrated by
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harsh environment applications. Develop data acquisition and control systems that include hydraulic or pneumatic actuation and pressure monitoring combined with interrogation of optical fiber-based
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Sciences website: https://neutrons.ornl.gov/suites/diffraction As part of our research team, you will emphasize developing software analysis tools for multi-dimensional data analysis, real-time data
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-dimensional data analysis, real-time data visualization, modelling for disordered systems, or improved automation, that are applicable across the instruments in the suite. As part of your career, you will have
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centrifuge isotope separation missions by integrating research, modeling, simulation, diagnostics, design, systems engineering, testing, prototype manufacturing, data analysis, quality, configuration
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fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in mechanical engineering, computer science, or a related field completed within
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(AI/ML), neuromorphic sensing, video super-resolution, electromagnetics, real-time systems, data mining and analysis, high performance computing, cyber security protection for radar and related training
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of research proposals. Produce thorough, peer-reviewed scientific reports describing methods, materials, and conclusions based on experimental data analysis. Interface with principal investigators, managers
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of research proposals. Produce thorough, peer-reviewed scientific reports describing methods, materials, and conclusions based on experimental data analysis. Interface with principal investigators, managers
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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