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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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select Programme Ph.D. Sport, Exercise and Health Sciences. Please quote the advertised reference number SSEHS/LJ26 in your application. To avoid delays in processing your application, please ensure
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two-page research proposal based on the project description outlining how you would approach the project and what methods you would use. Under programme name, please select 'Architecture, Building and
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two-page research proposal based on the project description outlining how you would approach the project and what methods you would use. Under programme name, please select 'Architecture, Building and
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-time teaching and scholarship role on its highly regarded undergraduate degree programme in Architecture. The programme builds on the University’s heritage in design and making, with some of its earliest
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AI Systems Engineer (KTP Associate) Other Academic Related grade 6 from £38,000 to £40,000 per annum, plus £2,000 per annum training budget. Department of Computer Science, School of Science
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, the project accelerates trait data acquisition by applying computer vision to herbarium specimens and field photos, as well as large language models to extract complementary information from literature and
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contribution rates. Life assurance. 30 days holiday plus bank holidays and discretionary days office closure. Employee Assistance Programme. Support for CPD and appropriate training. Please note: we do not
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funded by the Marie-Skłodowska-Curie Learning Network for Decentralized critical Infrastructure Asset Monitoring and coNDition assessment (DIAMOND), a stimulating, high-level European Doctoral programme
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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