32 engineering-engineering "https:" "https:" "https:" "https:" "Computer Vision Center" Postdoctoral positions
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Computer Science , Engineering & Technology Job Type Academic Posts , Postdocs Contract Type Fixed Term Hours Full Time Apply on website Save job Click to add the job to your shortlist Send job Job Details
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Post-Doctoral Associate in the Division of Engineering (Electrical and Computer Engineering) Employer NEW YORK UNIVERSITY ABU DHABI Location Abu Dhabi, United Arab Emirates Closing date 27 Aug 2026
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computational models and systems capable of performing complex tasks in strategic research clusters. The ideal postdoctoral candidate will have a strong background in robotics, computer vision, and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
our research outputs and an important reason why Carolina is one of the leading public research institutions in the country. UNC -Chapel Hill offers postdocs comprehensive medical and vision coverage
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
, computer science, or related field. Required Qualifications, Competencies, and Experience Doctoral degree in statistics, industrial and systems engineering, electronic engineering, computer science, or
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University of Turku, New York University Abu Dhabi, and Vrije Universiteit Amsterdam. Requirements A PhD in robotics, machine learning, computer vision, control, or a related field (candidates close
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https://www.uta.edu/administration/president/strategic-plan/rise100 . This is an exciting time to join UTA and contribute to its bold vision for the future. Working Title EEO Statement It is the policy
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astronomy, physics, astrophysics, aerospace engineering, electrical engineering, computer engineering, or a closely related field within six months of the appointment start date; Demonstrated experience
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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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Cardiotoxicity Risk Prediction Among Breast Cancer Survivors Using Multi-Site Real-World Data: https://www.fda.gov/about-fda/oncology-center-excellence/cardioonco-ai-ai-empowered-cardiotoxicity-risk