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responsibility for implementing a deep learning work-package as part of a Cancer Research UK-funded programme, developing an image-recognition model to identify morphological features corresponding to clonal
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About us The Department of Informatics is seeking to appoint a postdoctoral research fellow with an excellent track record in knowledge graphs, semantic technologies, and machine learning. Topics
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Leedham (colorectal cancer biology), Dan Woodcock (cancer genomics), Helen Byrne (mathematical modelling), and Jens Rittscher (computational pathology and imaging AI), offering a unique opportunity to work
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responsibility for implementing a deep learning work-package as part of a Cancer Research UK-funded programme, developing an image-recognition model to identify morphological features corresponding to clonal
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Directorate: School of Engineering and Physical Sciences Grade: Grade 7 (£37,174 - £46,735) Contract Type: Full Time (1FTE), Fixed Term (24 Months) Rewards and Benefits: 33 days annual leave, plus 9
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discounts also includes free entry to the Botanic Gardens and University colleges, and discounts at University museums. See https://hr.admin.ox.ac.uk/staff-benefits Application Process Applications
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and PhD students) and openly share expertise knowledge with team members (e.g. Post-docs). Collaborate with other two post-docs working in this research programme, to deliver on project aims. Contribute
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at the intersection of education, mental health, and developmental science. The successful candidate will contribute to a major research programme investigating how educational experiences shape mental health from
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at the Barts Cancer Institute (Queen Mary University of London). This role will involve analysing existing spatial-omics data sets and developing novel computational tools to understand the risk of developing
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Based at: University of York campus The School of Physics, Engineering and Technology brings physicists and engineers together to push the frontiers of knowledge, foster innovation and meet the