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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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continent. Its vision is honed around research and innovation at the service of education and development. The UM6P College of Computing, a central component of UM6P, seeks to set up an unprecedented research
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Extended Reality Lab (PIXL) to work on an ARIA-funded project at the intersection of Computer Vision and Climate Science. In this project we are developing a new approach for estimating a dynamic, four
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requirements: PhD degree in Computer Science, Electrical and Electronic Engineering, or related field. At least 3 years of relevant experience in computer vision, artificial intelligence, etc. Proficiency in
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Role: Research Associate in Computer Vision and Explainable AI Department: School of Computing, Engineering and Intelligent Systems Grade: 6/7 ( £32,564 - £36,148 per annum) Responsible
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This is a re-advertisement of vacancy 179305. Previous applicants need not apply About the role We are seeking a full-time Senior Developer in Computer Vision to join the Control Group
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Education: Ph.D. or M.S. in Computer Science, AI, Computer Vision, or related field Experience: 3+ years in computer vision and deep learning, with specific focus on microscopic imaging, generation
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control in the cultivation of grass seed. The project is funded by GUPD and Frøafgiftsfonden. Helping with computer vision tasks in other SDU UAS projects like WildDrone and GENIUS will also be part of
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that combine deep learning, computer vision, and bioinformatics to extract actionable insights from complex, multi-modal data, including medical imaging, genomics, and clinical records. A central theme of our
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research team focused on advancing cancer care through cutting-edge computational and AI technologies. We develop innovative approaches that combine deep learning, computer vision, and bioinformatics