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Job Description The successful candidate will work with Professor Mark Breese on Intelligent computer vision algorithms under a project on “Development of Cone Prism Camera Technology”. We seek a
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Are you passionate about machine learning, natural language processing, or computer vision? We are seeking a postdoctoral researcher to join the research group led by Ivan Titov (http://ivan
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expert in computer vision and data science, NHL Stenden offers you a unique opportunity: You can share your knowledge and expertise with equally passionate students and work with them on practice-oriented
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computer science with specialisation in data science, machine learning or deep learning, or in Earth/Environmental Science with experience in applied data science, machine learning or deep learning. You also will
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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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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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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 23 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