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with analysis, fabrication, assembly, and testing personnel. Design complex components and subassemblies for high-speed rotating equipment using machine design fundamentals and design for manufacturing
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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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analysis. Evaluate monitoring coverage, gaps, overlaps, and underused capabilities, and implement tools, integrations, and data sources that improve operational visibility. Automate monitoring deployment
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. Excellent analytical skills with high attention to detail. Experience with geospatial data visualization tools such as ArcGIS, Cesium, or similar. Familiarity with urban-scale building energy modeling
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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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ability to respond to emergent situations and apply sound judgment in resolving them. Basic understanding of typical data acquisition, reduction, and analysis concepts. Experience with sample environment
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Basic Qualifications: M.S. or Ph.D. degree in Nuclear, Mechanical, or Electrical Engineering, or a closely related discipline Experience with scientific programming and data analysis using Python, MATLAB
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in delivering the intended residential energy cost and other household direct benefits. Data collection, processing/curation, and analysis. Development and implementation of econometric analysis (e.g
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tools such as SCALE, MCNP, OpenMC, and Serpent on high-performance computing platforms Quantify uncertainty and modeling bias in calculated results Establish and document defensible analysis methods and
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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