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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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knowledge and tools for non-equilibrium flows for hypersonic vehicles. The research will provide unique and high-quality experimental data for expanding high temperature flows. Alongside this, the proposal
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at the Oxford Eye Hospital. Over the past decade, Dr Kapetanovic has been at the forefront of basic science and translational medical research into novel clinical treatments for incurable retinal diseases
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We are seeking a talented and motivated researcher to join the Mead Group to contribute to a major research programme focused on characterisation of in vivo models of myeloid neoplasms and
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and make major contributions to the work of the group The Post Doctoral Researcher will be the senior scientist leading the discovery science research supporting the BHF Professorship award to Prof
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, Computer Science, Epidemiology, Public Health or related discipline. You will have relevant experience in working with different types of personal and/or real-world digital data and/or pandemic or emergency
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The Parasite Biology Lab, led by Dr Gabriel Rinaldi at the Department of Biology is interested in the fundamental biology of parasitic worms that affect over 1 billion people worldwide. Both
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projects. It is essential that you hold a PhD/DPhil in a quantitative or computer science related subject (e.g. Statistics, Machine Learning, Biostatistics, AI, Engineering), and have post-qualification
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candidate will hold a PhD in physics, biophysics, physical chemistry, engineering, or a related area, or have submitted a PhD thesis prior to taking up the appointment. The research requires strong interest
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in the Mathematical Institute (https://www.maths.ox.ac.uk/groups/mathematical-biology/infectious-disease-modelling). The postdoctoral researchers will develop data-driven mathematical models and