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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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/Responsibilities: Design and implement a modular ROS 2 software architecture for onboard sensing, autonomy, mapping, data logging, launch management, and configuration management. Develop and integrate ROS 2 drivers
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-CCM+, RELAP or other hydraulic system codes, and MATLAB or Python for data reduction, automation, and model development. Preferred Qualifications: Thermal-structural knowledge and understanding how it
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-up and operate conventional, special-purpose and Computer Numerical Controlled (CNC)machining including lathes, mills, surface grinders, multi-axis CNC equipment and water jet cutting and wire fed
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testing of mechanical systems, data analysis, and interpretation of test results including modal analysis. Experience with mechanical system measurements, including instrumentation, signal processing, and
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implementing effective public information activities. The successful candidate will have excellent written and interpersonal skills, familiarity with word-processing and presentation software, and working
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needs, understand scope, review drawings and material selection as well as any other necessary information related to the projects. Monitor the fabrication process from inception to installation, ensuring
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infrastructure, ensuring smooth data communication by managing and configuring network devices like routers, switches, firewalls, and wireless access points, monitoring network performance, identifying and
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testing. Aids in the planning of inspections and tests, and interpretation of data collected. Reviews inspection and test setups and recommends instrumentation and measurement techniques. Performs
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scientific reproducibility. In a practical sense, the Senior AI Architect defines reference architectures for “AI at ORNL,” including patterns for data ingestion and curation, training and fine-tuning