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that one would like to answer. This position can be a valuable experience for learning more about academia, gaining advanced skills (e.g., computer vision, AI, deep learning, team working, etc.) and can be
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ranks 4th in the field of Electrical & Electronic Engineering in the 2021 QS World University Rankings by Subjects. Our team is seeking to hire a talented researcher in the area of computer vision and
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to create a tested and demonstrated Proof of Principle in 4 European regions covering 6 biogeographical areas. Responsibilities Develop and refine advanced methods for deep learning and computer vision
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on the problem of ensuring visual content authenticity in the age of Generative AI. Join the EPSRC funded DECaDE centre as we develop new Computer Vision and AI techniques to help fight fake news and
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 2 days ago
knowledge in computer vision, deep learning, and embedded systems. The research involves tailoring the latest algorithms developed by leaders in the field for object detection and pose estimation to track and
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Job Description The successful candidates will contribute to research activities related to use of computer vision, machine learning, and analytics to construction safety. The candidate shall work
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Role The Postdoctoral Researcher will support the CRC Future Food research program “National Vegetable Protected Cropping Centre (NVPCC) – Automated Crop Monitoring for Protected Cropping systems” run
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The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is
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The VCC center at KAUST is looking for postdoctoral researchers and research scientists in Prof. Wonka's research group. The topics of research are computer vision, computer graphics, and deep
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type (e.g., fake news, clickbait, and spam) and data modality (e.g., text, vision, and tabular data), which requires automated general-purpose debunking systems. (3) Effective misinformation mitigation