18 simulation "Computer Vision Center" "Computer Vision Center" "Computer Vision Center" Postdoctoral research jobs
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
Posting Information Posting Details Department Lineberger Compr Cancer Center - 426801 Posting Open Date 08/14/2026 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar
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focus) such as additive manufacturing, advanced/hybrid manufacturing, machine learning, artificial intelligence, computer vision, robotics, UAVs, etc. is a plus. Other preferred qualifications include
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Controlled Environment Agriculture (CEA) Engineering Lab as a Postdoctoral Research Associate. The candidate will primarily work in one or more of the following areas: computer vision, AI-driven automation
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the model and its calibration via simulation and observational data analysis. The project has industry partners and will offer opportunities to work with public and private data sets. We are looking
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the model and its calibration via simulation and observational data analysis. The project has industry partners and will offer opportunities to work with public and private data sets. We are looking
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the curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the
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the curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the
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the curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the
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the curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the
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in the National Center for Computational Sciences. They will collaborate with leading computer and computational scientists at ORNL and external collaborators in the development and application of