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, within the Diabetes, Metabolism, and Inflammation (DMI) Group at the School of Life and Environmental Sciences. You will be a highly motivated individual who is able to work independently and as part of a
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) on Monday 11 August 2025. Interviews are planned to take place online on Monday 01 September 2025, subject to change. To apply online for this vacancy and to view further information about the role, please
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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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in Materials Science or Chemistry (or be close to completion), together with relevant experience in the field of beyond Li-ion batteries, in addition to a first-class bachelor or master’s degree in
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have completed, or be close to completing, a PhD/DPhil in a relevant quantitative field such as computational social science, computer science, or cognitive science. They will have a demonstrable track
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in Materials Science or Chemistry (or be close to completion), together with relevant experience in the field of beyond Li-ion batteries, in addition to a first-class bachelor or master’s degree in
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an inclusive community that is respectful and fair for all. Find out more about the benefits of working at the University and what it is like to live and work in the Durham area on our Why Join Us? - Information
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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
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computational cognitive neuroscience/psychology, computer science, or relevant quantitative field, and a demonstrably strong track record of scientific publication and novel idea generation. You will have strong
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research deadlines. The post will be based in the Department of Chemistry, Chemistry Research Laboratory, 12 Mansfield Road, Oxford, OX1 3TA and is available from 1 September 2025. Application Process