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Location: United Kingdom (Remote or Belfast, NI Office based) Position Overview We are seeking a Senior Machine Learning Researcher with deep expertise in computer vision and hands-on experience
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Flood risk is controlled by both the hydrology and the physical shape and behaviour of a river and its floodplain (e.g., river type and behaviour; impacts of artificial modifications). Although
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, manipulate large datasets, visualise data and perform numerical and statistical analysis is a requirement. Experience in handling 'big data', machine learning and working in distributed teams, is useful
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Research theme: Net-Zero Energy Strategies for Data Centres How to apply:uom.link/pgr-apply-2425 Positions available: 1 This 3.5 year PhD project is fully funded and home and overseas applicants
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understand the long-term temporal impacts and benefits of offshore wind (OSW) on fish distribution and movements across large spatial scales, with a focus on the Greater North Sea region. The novelty
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, sustainability in transmission and distribution through novel power electronics solutions and products based on new materials. At the heart of such systems are power semiconductor devices. The advantages of wide
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and brain tissue mechanics to improve stroke treatment. Stroke is a leading cause of death and disability worldwide, making advancements in its diagnosis and treatment highly relevant. Computational
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England. Attracting and retaining high-calibre people is fundamental to our continued success. Salary Research Assistant: £32,546 to £34,132 per annum. Research Associate: £35,116 to £37,174 per annum
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distribution through novel power electronics solutions and products based on new materials. At the heart of such systems are power semiconductor devices. The advantages of wide bandgap materials such as silicon
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) Applications are invited for a 3.5-year PhD studentship. The studentship will start on 1st October 2025. Project Description Autonomous vehicles and smart transportation systems rely on artificial intelligence