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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Deep Learning-Based AI for Glioma and Cerebrovascular Segmentation in MRI
ELIGIBLE FOR FUNDING*: Want to study how AI can transform brain tumor surgery? This project uses deep learning to segment gliomas and brain blood vessels in MRI, helping neurosurgeons plan safer, more precise operations.
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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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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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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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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.