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from video recordings. This studentship would be part-sponsored by an industrial partner, Neurotherapeutics Ltd. Use translational neuroimaging and neurophysiology methods together in a rodent model of
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patient samples. The Sheffield arm of the project will develop statistical and machine learning models to identify and validate predictive biomarkers of resistance evolution in Pseudomonas aeruginosa lung
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. The resulting findings will help understand how the brain works, how we can maintain brain health and what causes brain disease. Methods We will use the fruit-fly Drosophila as a model organism, for its
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flagship programme of research, Inventing Futures (IFs) . This studentship is for full-time study and covers home-level fees and an annual stipend at the level set by UKRI . International candidates
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of membrane Proteins and Receptors (COMPARE).3 We will focus on FFA44 and NTSR1 as model GPCRs. Building on our groups expertise in development of covalent chemical probes5 and protein labelling methods,6 a
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(Beraza and Rushworth) whose work have a strong translational aim. This team will train the PhD student in a series of preclinical in vivo models; molecular biology and immunology methodologies; and complex
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of quantitative analysis and statistical modelling to support the project’s aims of assessing the contribution of An. stephensi to malaria transmission relative to native malaria vectors across a range of
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(CHF) phenomena – the prediction of which is key to safely designing and operating water based nuclear reactors. Current industrial modelling tools necessitate excessively conservative safety margins
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adversarial conditions. You will investigate how trustworthy AI models can be deployed across embedded healthcare devices, ensuring that decision-making remains interpretable, context-aware, and respectful
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, and developing AI models to accurately distinguish real falls from other events. Number Of Awards One Start Date January or April 2026 Award Duration 4 Years Application Closing Date 14th November 2025