Results
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PhD Studentship: Next-generation machine learning for genetic interaction prediction with lab-in the-loop validation in pancreatic cancer
Background Cancer cells often depend on specific genes to survive, making those genes attractive drug targets. CRISPR screens knock out genes to measure their importance for cancer cell…
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PhD Studentship: One read, one cell: Decoding cell identity with long-read sequencing
Background What if we could resolve the epigenome of individual cell types from complex human tissues without ever having to physically separate the cells? The majority of…
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PhD Studentship: Quantifying compounding and cascading physical climate risk to UK infrastructure
Climate change is intensifying hazards, such as flooding, heat, drought, storms, that threaten the resilience of UK infrastructure. Most existing risk assessments treat these hazards in…
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PhD Studentship: Physics-Informed AI and Experimental Modelling of Ocean Mixing: From Fracture Zones to Ocean Ventilation
Ocean mixing plays a fundamental role in regulating Earth's climate by controlling how heat, carbon and nutrients are transported through the deep ocean. Small scale turbulent mixing drives…
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PhD Studentship: Integrating sensing, modelling and data analytics to understand forest microclimate dynamics under fire, degradation and climate change in Amazonia
This project combines environmental sensing, computational modelling and data analytics to understand how climate change, wildfire and land use are reshaping tropical forest microclimates.…
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PhD Studentship: Integrating Machine Learning with One Health Frameworks to Quantify Disease Transmission Pathways between Wildlife and the Environment
The behaviour of animals determines their responses to environmental change and ultimately shapes whether populations persist or decline. Tools to record and analyse the behaviour of…
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PhD Studentship: Improving Artificial Intelligence through Neuroscience
Neuroscience has been a major source of inspiration for modern Artificial Intelligence frameworks, such as Deep Networks, Reinforcement Learning, and Large Language Models. This project…
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PhD Studentship: AI and Image Processing for Diabetic Retinopathy (DR) Smart Cameras
Background: Diabetic Retinopathy (DR) is the leading cause of blindness in working aged people. All people with diabetes aged over 12 need annual retina screening by attending ophthalmology…
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PhD Studentship: Using data to predict risk of hospital-acquired acute kidney injury (HA-AKI)
Background Acute kidney injury (AKI) is where kidneys suddenly stop working properly. It can range from minor loss of kidney function to complete kidney failure. Without quick treatment,…
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PhD Studentship: Engineering Catalyst-Layer Microenvironments for Selective and Durable Acidic CO₂ Electrolysis
Electrochemical conversion of carbon dioxide offers a route to manufacture valuable chemicals using renewable electricity. However, most high-rate CO₂ electrolysers operate under alkaline…
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PhD Studentship: Engineering Ceramic Powder Feedstocks for Additive Manufacturing of Components for Extreme Environments
Low back pain is the leading cause of disability worldwide, and presents a significant socioeconomic burden from direct treatment costs, and indirect costs due to losses in productivity. An…
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PhD Studentship: Multiscale Scientific Machine Learning Digital Twins for High-Torque Electric Propulsion under Extreme Duty Cycles
Electrifying heavy-duty maritime vessels, mining equipment and off-highway machinery is central to Net Zero and Clean Energy goals. Unlike conventional automotive traction systems, electric…
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PhD Studentship: Multi-symplectic methods for nonlinear wave interactions and ocean wave forecasting
The motivation for this project is to develop the mathematical foundations for the next generation of ocean-wave forecasting models. Accurate and timely wave forecasts are essential for the…
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PhD Studentship: Uncertainty quantification for healthcare models: a route to precision medicine
Mathematical models are important tools for gaining insight into complex processes across biological systems and healthcare. To support high-stakes decisions in a clinical setting using…
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PhD Studentship: The Khintchine-Groshev Theorem: Beyond Removing Monotonicity
This project is primarily in the field of Diophantine Approximation, which studies how well real numbers can be approximated by rational numbers and variations on this theme. Sets…
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PhD Studentship: Sovereign Agentic AI: Distilling Small Language Model Agents for Local Deployment
Agentic AI systems are language models that plan, call software tools, and complete multi-step tasks with little human input. They are moving from demonstrations into business operations…
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PhD Studentship: R2T2-Med: Resource-Aware AI for Scalable and Deployable Medical Image Analysis
Medical imaging generates very large and rapidly growing volumes of data. Although AI can support automated image analysis, many current models require substantial computing power, memory…
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PhD Studentship: Uncertainty-Aware Synchronisation for Sustainable Data Centre Digital Twins
Digital Twins rely on synchronisation between physical and virtual entities to maintain sufficient fidelity with the systems they represent. However, determining when synchronisation is…
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PhD in Physics-Aware Graph Neural Networks for Robust Short-Term Visibility Forecasting
Accurate short-term visibility forecasts are essential for safe and efficient transport operations, particularly aviation, where low visibility can reduce airport capacity and cause delays…
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PhD in Explainable AI for Early Dementia Detection and Deployment
The aim of the project is to develop explainable and trustworthy machine-learning models for the early detection of cognitive decline and dementia. By integrating multimodal data (cognitive…