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deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with experience in: Deep learning Medical imaging computing
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for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria 1. PhD degree in Engineering, Computer
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that underpin virus infection, replication, transmission, zoonosis and pathogenesis. Projects employ a multi-disciplinary blend of experimental approaches that draws upon molecular-genetic, cultured cell
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. Advanced microscopy, cutting-edge biophysical techniques and genetically engineered mouse models will be used. The labs are well-established and located in the vibrant and supportive environment
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diabetes; genetics; infection and immunology; imaging and biomedical engineering; transplantation immunology; pharmaceutical science; physiology and women's health. We also have thriving research programmes
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Putts; and inflammatory genetics. The successful candidate will support other researchers and MSc/PhD students. They will develop novel scientific questions and lead on the analysis of specific aspects
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” of the brain is genetically determined, it is also influenced by environmental experience. We are still far from a complete understanding of how these processes work. CDN is one of four departments in the School
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” of the brain is genetically determined, it is also influenced by environmental experience. We are still far from a complete understanding of how these processes work. CDN is one of four departments in the School
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of Research Excellence and contribute to a growing cardio-immunology research programme. Inflammation is increasingly recognised as a key modifiable driver of adverse outcomes across a range of cardiovascular
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work independently, once appropriate training and guidance is provided. Excellent academic writing, oral presentation skills and computer skills and proficient in the use of applications such as