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multi-disciplinary research at the intersection of robotics, machine learning, artificial intelligence, computer vision, and computer science. The project looks at how investigates how robots and
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the environment and sustainability. The role is funded for 24 months in the first instance, with an expected start date of July 2024. About You You will have a PhD and track record in either computer science with
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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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We are seeking two full-time Postdoctoral Research Assistants in Computer Vision to join the Visual Geometry Group (Central Oxford). The posts are funded by ERC or EPSRC and are fixed-term for 2
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staff position within a Research Infrastructure? No Offer Description Post-doctoral position in the area of computer vision (CV) to work at the “Science for Development Center in Digital Agriculture
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | about 19 hours 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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Skip to main content. Profile Sign Out View More Jobs Postdoc in Computer Vision with Deep Learning for Material and Computational Design – DTU Compute Kgs. Lyngby, Denmark Job Description Do you
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the long-term, nationally representative Countryside Survey , AI-Hab will leverage the latest advances in computer vision and deep learning to deliver an automated monitoring tool for habitat classification
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Language Processing (NLP), Computer Vision (CV) and Machine Learning (ML) for the translation between spoken Language and Sign Languages. It will include the application of NMT techniques and Large Language Models
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position NHH in Bergen, Norway, invites applications for a postdoctoral position in informatics with a specialisation in geospatial computer vision at the Department of Business and Management Science . The