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such as Wildfires. Platforms include Satellite, Aircraft, Drones, Mobile Devices using Optical, LiDAR, Navigation sensors. Highly automated Machine Learning and Geo-AI workflows underpin an intuitive Common
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annotation and coding for automated tackling analysis. The role involves careful review and systematic labelling of large volumes of rugby footage to support Machine Learning applications and performance
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to support real-time response to Emergency Events such as Wildfires. Platforms include Satellite, Aircraft, Drones, Mobile Devices using Optical, LiDAR, Navigation sensors. Highly automated Machine Learning
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Devices using Optical, LiDAR, Navigation sensors. Highly automated Machine Learning and Geo-AI workflows underpin an intuitive Common Operational Picture to transform real-time data streams into a suite of
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with carrying out original research to develop new machine learning approaches to link different scale geochemical-mineralogical-petrophysical datasets within a 4D geological framework. An initial focus
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the development of high-fidelity finite element models to investigate surface wave propagation in soft biological tissues, forming the foundation for subsequent statistical and machine learning
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Permanent Whole Time Post Applications are invited for the position of Computer Systems Engineer in the School of Computer Science and Information Technology. Reporting to the Computer Systems
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of high-fidelity finite element models to investigate surface wave propagation in soft biological tissues, forming the foundation for subsequent statistical and machine learning frameworks that integrate
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Hospital. This role requires excellent communication and interpersonal skills, computer literacy, organisation and an awareness of time management. The Research Assistant is required to manage data in
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. The project uses cutting-edge machine-learning techniques from computer science to unpack how populist actors engage with security themes. This will comprise multi-modal analysis of election manifestos, online