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Field
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: Experience in the following will be preferred: The development of computational models to represent structural performance using commercial and research software tools The development and validation of machine
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results of experiments or projects under control or supervisory responsibility. 2. Recommends changes in research, testing or experimental procedures. 3. May be responsible for a single highly technical and
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: Experience in the following will be preferred: The development of computational models to represent structural performance using commercial and research software tools The development and validation of machine
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. Knowledge of upstream, downstream, and centerline construction methods, and associated risks and regulatory frameworks. Proficiency in spatio-temporal modeling and geotechnical software (e.g., FLAC, GeoStudio
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. Maintain experimental records on all activities, protocols, data, etc. (35%) Evaluate the adequacy of laboratory techniques, study and test new procedures, and analyze data by assessing the performance and
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/software co-design for AI applications ● Radiation testing of electronic systems, with an emphasis on single event effects Preferred Qualifications: ● Experience in designing and modeling fault
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community engagement activities to aid in recruitment and retention Preferred Qualifications Equipment Utilized Proficiency with statistical software (e.g., R, MPlus, SAS, SPSS) Physical Demands and Work
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associated data analysis software to ensure comprehensive and accurate research outcomes. Physical Demands and Work Environment The position requires extended periods of standing and repetitive movements
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well as testing effectiveness of implementation supports (e.g., professional learning communities and coaching). Responsibilities: Coordinating data collection and analysis activities. Developing and disseminating
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
software projects, including proficiency across the software development lifecycle in Python (version control, documentation, and testing) Research experience with astronomical data analysis and large-scale