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with eye-tracking and LENA systems Experience preparing IRB submissions and managing research databases Interest in pursuing research-related careers (e.g., PhD programs) Applicants are not expected
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on applying computer vision, machine learning, and sensor fusion to automatically detect, classify, and localize defects, improving the scalability and reliability of building inspection. Research on 3D
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to enhance both accuracy and computational efficiency, enabling near real time water quality forecasting. This development will provide a more reliable, science-based foundation for environmental decision
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oversee undergraduate researchers in routine tasks. Regular, reliable, and non-disruptive attendance is an essential job duty, as is the ability to create and maintain collegial, harmonious working
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the goal of integrating advanced modeling and simulation tools with state-of-the-art wind tunnel testing. The MAC will advance the reliability and complexity of simulations, extend and validate physics
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or if you have questions about a job posting, please contact Human Resources at 479.575.5351. Department: Department of Physics Research Assistants 04 Department's Website: https://physics.uark.edu/ Summary
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data and participate in regular consensus building meetings with other analysts Assists with running data queries and reliability tests Identifies overarching themes and subthemes in a variety of