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-certification, and redeployment, as well as social acceptability and policy design. About you You should hold a relevant PhD/DPhil, or be near completion, in electrical engineering, economics, applied mathematics
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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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Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods
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, applied mathematics, or related fields. The ideal candidate should be organised, highly motivated, creative, and interested to work as part as a collective. A strong track record of first-author
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activities, and adapting existing mathematical and statistical methods for analysis of high-dimensional imaging data, and developing new ones. Other responsibilities will include analysing quantitative imaging
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at the Mathematical Institute, University of Oxford. This is a 15-month fixed term position, until 30 September 2026, though it may be extended if additional funding is forthcoming. The successful candidate will be
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base, the partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry scientists. Within the partnership, small research teams will
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of sources, particularly from Spatial Transcriptomics and Spatial Proteomics platforms, and collaborate with colleagues from the Mathematical Institute, Centre for Human Genetics, and the GO-PRECISE
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combine a series of interdisciplinary approaches ranging from experimental embryology and fluorescent microscopy to mathematical modelling. The lab is highly interdisciplinary and collaborative. You will
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Pay Scale: STANDARD RESEARCH GRADE 7 Salary (£): 41,997 – 46,913 per annum Location: Department of Biochemistry, South Parks Road, Oxford Contract type: Fixed Term Contract for up to 3 years in the first instance Hours: Full Time (37.5 hours per week) About the role We are seeking to appoint a...