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developing a novel platform to uncover the hidden dynamics of proteins in health and disease. Your Role As a postdoc on this project, you will be part of a dynamic team working at the intersection of protein
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who are able to start between 1st January 2026 and 1st June 2026. The successful candidate will be part of a research group with responsibility for carrying out research in Applied Mathematics and
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have strong quantitative analysis skills, using statistical programming packages such as R, as well as excellent communication skills. This is a full time, fixed term post (part time considered) for 3
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multiple aspects of work to meet deadlines. The candidate will take part in the academic life of BIPAC and the astrophysics group at the Physics Department, and in particular attending and taking part in
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effects. You will contribute to the numerical modelling part of the project, which will benefit from novel element level and centrifuge testing experimental results. You will set up and validate numerical
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nanotubes, enables the exploration of thermodynamic processes at the nanoscale. Carbon nanotubes serve as exceptional nanomechanical resonators due to their low mass, high stiffness, and quality factor
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Postdoctoral Research Assistant in Design for Behaviour Change: Circular Economy for Medical Devices
Innovate UK and is a 24-month fixed-term contract from 1 November 2025 with the possibility of an extension. The Research Assistant will join a consortium of industry and academic partners as part of
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the MRC, with travel to the Universities of Nottingham and Cambridge included. As part of this project, they will assist Dr Grist in the set-up of a world-first short course in hyperpolarised MRI, working
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to equality and valuing diversity” Applications for this vacancy are to be made online and you will be required to upload a CV and Supporting Statement as part of your online application. The Supporting
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are to be made online and you will be required to upload a supporting statement and CV as part of your application. In your supporting statement (<5 pages), please explain how you meet each of the selection