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field. Preferred Qualifications: Collateral degree or background in information management or business analytics. Knowledge of UT-Battelle and DOE accounting systems. Experience with SQL Server and Visual
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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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, and deploy human analysis and biometric recognition tools and prototypes. Conduct rigorous statistical analysis to aid in data exploration and interpretation Benchmark and T&E AI/ML systems against
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programming and data analysis using Python, MATLAB, C/C++, or similar programming languages Demonstrated technical writing skills, including preparation of reports, presentations, and other scientific
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quality; assist with basic data reduction, visualization, and interpretation using Excel and other engineering tools. Provide on-site or virtual support for selected partner measurement activities, in-plant
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stakeholders to understand needs and gather detailed actionable requirements at the highest security levels. Analysis of emerging trends and technologies to provide recommendations for roadmaps and AI strategy
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high-performance computing, cloud, and hybrid environments. Develop intelligent data agents and automated analysis tools that can explore, summarize, validate, and visualize large, heterogeneous datasets
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data analysis Provide feedback to FEMP for program and project improvement Create tools and resources to streamline the project processes Training: Assist in FEMP's outreach activities Assist with
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; such as Windows, OpenVMS, Unix, etc. Advanced computing skills; including data reduction, analysis, and presentation. Hands-on experience with configuring and using alpha spectrometry, gamma spectrometry
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/technical stakeholders to understand needs and gather detailed actionable requirements at the highest security levels. Analysis of emerging trends and technologies to provide recommendations for roadmaps and