4 machine-learning "https:" "https:" "https:" "https:" "https:" positions at Loughborough University in United Kingdom
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of separating fire-induced signatures from natural environmental variability (weather, canopy changes, tree motion) and fluctuations in the SoO sources themselves. Machine-learning methods will help improve long
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designed to meet multiple needs in marine biodiversity monitoring. The project aims to develop embedded novel deep learning and computer vision algorithms to extend the system’s capabilities to classify
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London weighting (Starting salary to be confirmed on offer of appointment), plus £2000 per annum training budget Key words: machine learning, deep learning, AI, artificial intelligence, data analytics
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by detecting and predicting threats such as pests, diseases, and environmental stress in line with the UK Plant Biosecurity Strategy. The project harnesses computer vision, deep learning, and large