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We are currently inviting applications for a Postdoctoral Research Associate to work with Professor Maria Bruna at the Mathematical Institute, University of Oxford. This is a fixed-term position for
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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 buildings closed days (and Christmas Eve when it falls on a weekday) for all full time staff. Use...
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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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mathematics. We have a world wide reputation for academic research with consistent top research ratings. The Department has an open and collaborative culture, supporting revolutionary fundamental
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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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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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obtain) in areas relevant to this post (e.g. computer science, engineering, Statistics, and mathematics etc). This role is eligible for sponsorship under the skilled worker route Commitment to Diversity
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-Faculty and truly interdisciplinary research Institute that combines theory and technology from mathematical and physical sciences with experimental analysis in biology and biomedicine (Living Systems
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research
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programming skills, in depth knowledge of MR theory, and experience with the acquisition and analysis of (preclinical) MRI data, as well as with mathematical modelling and image processing methods. Experience