Breadcrumbs List.
PhD projects
Explore the PhD projects available for life-changing research, including fully funded opportunities and projects eligible for doctoral scholarship funding.
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Developing a novel approach to study cardiac mitochondria in health and right-heart failure
ELIGIBLE FOR FUNDING*: We will develop a method to study mitochondria in their natural heart environment, to investigate mitochondrial dysfunction in right-heart failure.
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Unravelling the role of lymphatics in vaping associated lung injury
FULLY FUNDED: This project will involve a world first study - using combined experimental and computational approaches - to determine the impact of vaping on the lungs and lung lymphatic vessels.
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Hetero-dimensional cardiovascular digital twins for precision medicine
FULLY FUNDED: This project aims to develop human cardiovascular digital twins based on multi-dimensional computational models and subject-specific data, usable in clinical applications for improving patient care.
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Biomechanics of aortic dissection
ELIGIBLE FOR FUNDING*: Use advanced MR imaging and computational modelling to predict the risk of tears in the aorta.
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Electromechanical mapping of the gut using flexible electronics and cameras
FULLY FUNDED: In this project multi-modal techniques will be developed and utilised, involving flexible electronics and cameras, to gain an integrated understanding of the control mechanisms of the gut.
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Food protein digestion model in relation to age
ELIGIBLE FOR FUNDING*: We want to establish a model to simulate the digestion of protein in relation to age, using in vitro digestion and clinical MRI methods. Results will be developed into a computational model.
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Treating right-heart failure from an energetics perspective
ELIGIBLE FOR FUNDING*: This project is highly topical as it addresses the urgent need for improved and effective treatment options for patients with right-heart failure.
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Computable model reuse improves credibility?
ELIGIBLE FOR FUNDING*: Model credibility is a critical determinant for successful clinical translation. Standardised and automated model reuse improves model credibility, or does it?
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New approaches to measurement of the cornea using smartphones
ELIGIBLE FOR FUNDING*: Are you interested in developing new eye health technology?
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Deep learning for precise timing of neonatal hypoxic-ischemic encephalopathy via EEG and seizure pattern analysis
ELIGIBLE FOR FUNDING*: This project utilises deep learning to determine the exact timing of hypoxic-ischemic brain injury in neonates using EEG within the first 6-hours of life when hypothermia treatment is most effective.
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Next generation real-time heart models for closed-loop design and testing of medical devices
ELIGIBLE FOR FUNDING*: This project develops real-time models of healthy and diseased human hearts. These will be applied to interactive closed loop medical device testing, in collaboration with industry partners.
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Artificial intelligence for cancer imaging data analysis
ELIGIBLE FOR FUNDING*: Want to explore how artificial intelligence can transform cancer imaging? This project focuses on developing AI models for lesion segmentation, radiomics, and improved cancer diagnosis and prognosis.
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Beating heart disease - non-invasive and non-contact diagnosis of cardiovascular disease
ELIGIBLE FOR FUNDING*: Want to study cardiovascular disease diagnostics using imaging and AI? This project focuses on camera-based imaging to estimate pressure waveforms with signal processing and machine learning methods.
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Unravelling the structure-function relation in congenital human cardiac hypertrophy
ELIGIBLE FOR FUNDING*: This project uses cutting-edge experimentation, imaging and computational modelling techniques to understand the mechanisms underlying human cardiac hypertrophy.
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Deep learning for DNA methylation-based classification and diagnosis of glioblastoma brain tumors
ELIGIBLE FOR FUNDING*: This project aims to harness deep learning for precise DNA methylation-based classification of glioblastoma brain tumors to enhance diagnostic accuracy for targeted and personalised treatments.
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Pacemakers of the gut: Development of next generation stomach pacing techniques
ELIGIBLE FOR FUNDING*: Want to apply a variety of engineering techniques to solve clinical problems? This project will develop new electrical pacing techniques to act as a new therapy for debilitating stomach disorders.
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How do new weight-loss drugs work, and how do they alter gut activity?
ELIGIBLE FOR FUNDING*: Want to help figure out how the new weight-loss drugs work? This project will help determine how activity in the stomach changes in response to these drugs.
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Markerless cell sorting
ELIGIBLE FOR FUNDING*: In this ME or PhD project, you'll develop new methods for rapidly identifying different types of living cells, while keeping them healthy, and safe for human use.
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Noninvasive characterisation of gastric electrical activity using electro-anatomical mapping
ELIGIBLE FOR FUNDING*: Want to study advanced electro-anatomical mapping and its role in transforming gastric health diagnostics? Join this PhD project to uncover bioelectric patterns and create novel clinical tools!
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Multiscale computational modelling of nutrient absorption mechanisms in the small intestine
FULLY FUNDED*: This project will involve the development of a multiscale computational model of nutrient absorption within the small intestine
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Light-printed hydrogel structures for cell and tissue testing
ELIGIBLE FOR FUNDING*: Help design and use a new technology for studying the properties of living heart tissue slices.
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Sharing physiological cues to enhance XR collaboration
ELIGIBLE FOR FUNDING*: Want to study how to enhance collaboration by sharing emotional cues? As a PhD student you will explore how sharing physiological cues can improve face to face and remote collaboration in AR and VR.
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Assessing the effects of diabetes on gastric electrophysiology and muscle bioenergetics function
ELIGIBLE FOR FUNDING*: This PhD project will explore how diabetes disrupts stomach function by targeting pacemaker cells, nerve signaling, and muscle energetics in an animal model.