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of placental function and reduce the risk of stillbirth. This post forms part of the internationally funded Wellcome Trust programme, which aims to develop new approaches to measure, model and predict pregnancy
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The University of Nottingham Sport is currently undergoing an ambitious change and investment programme to further support our vision to deliver an outstanding student sporting offer and establish
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the computational neuroimaging group (https://conilab.nottingham.ac.uk ). The team have an established track record in developing computational neuroimaging technologies for mapping the brain at a
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) at the University of Nottingham. Academic and Professional Tutors contribute to all aspects of the DAEP professional training programme including course management and development; module planning and delivery
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computational simulation, supported by experimental investigations using test welds and novel material characterisation methods. This project is available from 1st October 2026. Applications are accepted until
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computational simulation, supported by experimental investigations using test welds and novel material characterisation methods. This project is available from 1st October 2026. Applications are accepted until
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We are looking for a researcher, whose expertise lies in computational fluid mechanics and finite element methods, to work with Matthew Hubbard and Reuben O’Dea on a Wellcome Trust funded project
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computational simulation, supported by experimental investigations using test welds and novel material characterisation methods. This project is available from 1st October 2026. Applications are accepted until
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environments (e.g., SPSS, R, and Python), and computational facilities. Guide and support students during laboratory sessions and contribute technical input to curriculum development. Assist academic staff and
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hub dedicated to advancing brain cancer research. The Centre is supported by a prestigious 5-year programme grant from the charity ‘Brain Tumour Research (BTR)’ and represents a cross-Faculty research