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disciplinary backgrounds. This post is full time, 35 hours per week to cover maternity leave for up to 12 months or until the substantive postholder returns. Visit our website for further information
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expression in the tumour. The models will be calibrated against pre-clinical data and compared to literature models that are based on ordinary differential equation systems without a description of spatial
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events. How to apply For more information and to apply, please click on the 'Apply' button above. Closing date: 9.00am Tuesday 21 April 2026
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approach to your work. Whether preparing information for schools, resolving placement‑related issues, or supporting the wider administrative needs of the Partnerships Team, you will contribute to a
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the University to ensure the University has access to effective research Management Information from both internal and external sources. If you would like to discuss the role please contact Pete Wheldon, Head of
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‑bounded turbulence. This short, intensive 9‑month position offers an exciting opportunity to advance fundamental turbulence research using DNS/LES and data-driven optimisation techniques. In this role, you
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data. Develop and apply signal processing workflows for weak transient signals, long-term monitoring, feature extraction and statistical analysis. Support sound playback/stimulation protocols for plant
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research income generation. You will also have experience in working with large micro databases and grouped data. Experience of independently managing a discrete area of a research project, working in
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machine learning with spectral data to enable rapid, non-destructive detection of food adulteration and fraud. Machine learning combined with spectral data can play a vital role in combating food fraud by
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medicinal chemistry and molecular biology techniques, including computer‑aided drug design (e.g., molecular dynamics and molecular docking), synthetic organic chemistry for compound synthesis, purification