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whole tumour while leaving in place as much healthy tissue as possible (tissue conserving surgery). This surgery is challenging because surgeons lack accurate imaging tools to assess the surgical margins
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at the Faculty of Engineering (FoE), University of Nottingham which conducts cutting-edge research into the development of imaging technology for biomedical applications. Vision We are seeking PhD students who
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of multiple biomedical imaging modalities, e.g., MRI and Ultrasound. Enabling multiple methods of imaging to be applied will greatly improve the level and accuracy of information gained from the imaging process
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addition to improving crop productivity, it has an ultra-low carbon footprint, no chemical processing, zero water footprint, zero waste, and certification for organic agriculture. Unlocking the full potential of such a
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of inactivity is lacking. This PhD will aim to address the long-standing debate surrounding the role of habitual physical activity levels in driving ageing processes in multiple organs, with a particular focus on
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that can image diseases including cancer in hard-to-reach areas of the body such as the pancreas and ovaries. Background: Cancers that occur deep within the body are difficult to detect and treat due
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of mechanical biomarkers in the determination of the state and progression of cancer cells by the use of novel imaging, and sensing techniques. You will work with both experts in cancer and optoacoustic
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landscape, digital twins represent a paradigm shift in bioprocess engineering by offering real-time, predictive simulations of complex biological systems. As a PhD candidate, you'll be at the forefront
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their health state before and after surgery. This research project will use cutting-edge magnetic resonance imaging and laboratory analyses to measure liver fat and scarring, leaky gut and disease indicators in
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and advanced imaging as they seek to understand how genetic variants and pharmacology impact taste-receptor signalling. Finally, the student will gain experience with high-throughput screening