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the EU Research Framework Programme? European Union / Next Generation EU Reference Number 163829 Is the Job related to staff position within a Research Infrastructure? No Offer Description Data & images
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: environmental monitoring, AI, computer vision or multispectral imaging. Entry Requirements At least UK equivalence Bachelors (Honours) 2:1. English Language requirement (Faculty of Science equivalent: IELTS 6.5
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results from human decision-making to inform the design of this new paradigm, and feed the results of the latter back into human decision-making to help make it more explainable. The PhD student will: (1
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This PhD project focuses on advancing computer vision and edge-AI technology for real-time marine monitoring. In collaboration with CEFAS (the Centre for Environment, Fisheries, and Aquaculture
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the position. The vacant position is part of a collaboration between the Colour Vision and Retinal Imaging Laboratory headed by Prof. Rigmor C. Baraas, the Molecular Ecology Group headed by Jørn Henrik Sønstebø
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-driven shifts in species distributions. Currently, barnacles and other species are manually counted from over 3,000 images each year, which is time-consuming and prone to human error. This project will
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This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at
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related disciplines Quantitative imaging, data analysis, or computer vision Numerical modeling of biological systems or continuum mechanics Machine learning/AI, particularly explainable AI (XAI) Hands
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research group in computer vision and machine learning, with seminal results in 3D reconstruction from images, scene understanding, deep learning, optimization, sparsity, etc. IMAGINE is part of
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, and essential. It enables powerful applications in gas sensing, spectroscopy, noninvasive biomedical imaging, thermal vision, and energy harvesting. From autonomous vehicles to medical diagnostics and