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Department's Website: EECS Department Website: https://engineering.uark.edu/electrical-engineering-computer-science/ Artificial Intelligence and Computer Vision Laboratory Website: https://uark-aicv.github.io
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 24 hours ago
, Competencies, and Experience Strong research background in computer vision and multimodal machine learning. Experience with deep learning and multimodal/vision-language models. Strong programming and research
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 24 hours ago
world. Position Summary This Postdoctoral Research Associate will conduct advanced research in artificial intelligence, machine learning, computer vision, and medical image analysis. The position will contribute
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Offer Starting Date 1 May 2027 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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About the Opportunity About the Gyori Lab for Computational Biomedicine The Gyori Lab for Computational Biomedicine at Northeastern University builds systems that accelerate scientific discovery by
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31 Jul 2026 Job Information Organisation/Company Computer Vision Center Research Field Computer science » Other Researcher Profile Established Researcher (R3) Positions Postdoc Positions Application
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, computer vision, robotics, biomedical engineering, computer science, biomechanics, neuroscience, signal processing, or a closely related discipline. Strong expertise in machine learning and deep learning
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immunology Skills Verbal and communication skills, Organizational skills Required Documents Resume Cover Letter Comprehensive Benefits Package: Coverage begins on day one for health, dental, and vision
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. The QML-CVC team (https://qml.cvc.uab.es/ ) is part of the Computer Vision Center at the Universitat Autònoma de Barcelona; the CVC is a center with over 150 persons working machine learning and computer
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environments, spectral sensing in the visible and near-infrared (NIR) range to estimate sugar and starch content, chlorophyll levels, and plant water status, AI-based computer vision systems to monitor crop