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28 Nov 2025 Job Information Organisation/Company Queen's University Belfast Department Centre for Secure Information Technologies Research Field Computer science » Cybernetics Engineering » Computer
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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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of short-axis MR image sequences. Training You will be based at the Vision Computing Lab within the School of Computing Sciences, which specializes in deep learning for medical image analysis and neural
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the University of Nottingham, contributing to cutting edge research into clean and sustainable energy technologies. Vision and Aim Ammonia is an essential component of the global strategy to achieve net-zero
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Peter Hamilton, and Professor Ray Yep), and who also share a vision for public engagement of the discipline. The studentship is funded by an endowed fund at the University. The Centre encourages and
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limited to Professor Robert Bickers, Dr. Vivian Kong, Dr Peter Hamilton, and Professor Ray Yep), and who also share a vision for public engagement of the discipline. The studentship is co-funded by a
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have an excellent Researcher Development programme, and wider institutional postgraduate training. We are committed to supporting a strong and growing PGR community, including PGR-Led activities
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(computer vision technologies). The interdisciplinary nature of this PhD will require the integration of environmental science, engineering, and community science methodologies. Supervisors: Primary
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challenges which experimentalists must consider – computer simulations of molten salts are therefore a very valuable guide to efficient experimentation. Molten salts have been well-studied using classical
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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