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Field
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psychology and related disciplines. We are particularly interested in candidates who would bring a distinct area of expertise beyond the cognitive psychology program’s existing strengths in learning and long
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, practical systems intuition and one or more stronger technical axes, such as platform software, high-level control, simulation, testing, perception integration, tooling or release-oriented software
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: Ability to bend, crouch, or stoop. Ability to hear, including making fine discriminations in sound. Ability to see, including color, depth perception, or clarity. Ability to sit and use a computer for 4
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 28-Jul-26 Location: Oakland, California Categories: Academic/Faculty Computer/Information Sciences Internal Number
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 25 days ago
; 8am – 4:30pm Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range $50,831 - $55,000 Pay Band Information To learn more about the pay band for this branch and role, please see
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). The researcher should have a PhD/DPhil in robotics, computer vision, machine learning or a closely related field. You have an excellent academic track record in topics relevant to robot perception. A specific
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, C++ or similar languages. Good knowledge of network communication and integration between different systems, such as robots, AI and digital twins. Good knowledge and experience of machine learning
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/Perceptive Content by performing routine data entry, verification, and checklist-driven system tasks to ensure accuracy and consistency. Support data cleanup efforts and digital record conversion projects by
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assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any offer of employment
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%); first-year Master's degree average grade (30%); average grade in the course unit Computer Vision or Industrial Vision and Perception Systems (20%); relevant CV activities (experience in machine learning