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of Edinburgh and Glasgow, with expertise across computer science, wearable computing, AI and criminology. Our programme of research utilises both experimental and literature-based approaches to explore
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. The post-holder will be responsible for managing their own academic research programme in Salmonella effector biology. You will have a high degree of autonomy to develop the methodology and experimental
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Machine Learning, Statistics, Computer Science or closely related discipline. They will demonstrate an ability to publish, including the ability to produce high-quality academic writing. They will have the
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Mobility Reading Group led by Nobuko Yoshida. The successful candidate will be located in the Department of Computer Science Reporting to Professor Nobuko Yoshida, the post holder will be responsible
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of study. Will be able to demonstrate sufficient knowledge in Papyrology and associated methods and techniques to work within established research programmes. Will have linguistic proficiency in Demotic and
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methods and techniques to work within established research programmes. Have linguistic proficiency in Ancient Greek and Latin and experience working with a range of ancient sources, including papyri and
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to underpin Salmonella pathogenesis. The post-holder will be responsible for managing their own academic research programme in Salmonella effector biology. You will have a high degree of autonomy to develop
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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models
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collective action projects (Southeast Rivers Trust and the Wye and Usk Foundation), and the North Essex Farm Cluster. Methods include Rapid Evidence and Qualitative Assessment; participatory and grounded place
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which insect chemosensory receptors are able to sense and respond to carbon dioxide. The research programme will provide broad insight into direct molecular responses to carbon dioxide and supply tools