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overheating models by integrating TIR imagery with energy flux data, building physics parameters, and local weather conditions. Apply machine learning techniques for TIR and other open-source image analysis
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relentless arms race. While viruses evolve new infection strategies, archaea evolve new antiviral defence mechanisms. However, we still lack a clear picture of this process. This project will address
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Gustavo Quino For queries regarding the application process, email Lisa Kelly , PhD Administrator Equality, Diversity and Inclusion:Imperial is committed to equality and valuing diversity. We are an Athena
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new Wellcome-funded Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. The post will benefit from the extensive and broad
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conditions. For instance, cameras used to monitor the behaviour of nesting birds typically require mains power or are too bulky to fit unobtrusively in nests without disturbing the occupants. Thermal imaging
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and technology. Desirable (not essential): Research experience in sports medicine and technology (e.g. publication or final year project). Programming skills in MATLAB or Python. Application Procedure
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We invite applications for a fully funded PhD studentship (3.5 years) hosted by the University of Birmingham and conducted in collaboration with the UK Met Office. This project is ideal for
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Deadline: 7th January 2026 One fully funded, full-time PhD position to work with Dr. Viacheslav Borovitskiy in his new research group at the School of Informatics, University of Edinburgh. Our
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Atmospheric rivers are narrow bands of strong vertically integrated water vapour transport (IVT), conjuring the image of a river in the sky. This phenomenon has been studied extensively in relation
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DoS: Dr Michelle Harris 2nd Supervisor: Dr Andy Parsons 3rd Supervisor: Dr Katie Jones 4th Supervisor: Dr Giuliano Laudone Applications are invited for a 3.5 years PhD studentship, starting 01