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We have 197 prediction PhD Research Projects PhD Projects, Programmes & Scholarships

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prediction PhD Research Projects PhD Projects, Programmes & Scholarships

We have 197 prediction PhD Research Projects PhD Projects, Programmes & Scholarships

An optimal framework for disease risk prediction and stratification for multi-ethnic populations (ref: SF22/HLS/APP/Chimusa)

The exceptional polygenicity of human traits makes unravelling mechanisms from disease risk prediction models daunting. The development of polygenic risk scores (PRS) methods, their evaluation and clinical utility have been explored almost in European ancestry Genome-Wide Association Studies (GWAS) data sets. Read more

NIHR Leeds BRC: Improving understanding of the use and interpretation of risk prediction tools

There are many risk prediction tools developed but only a fraction make it to routine clinical use. The reasons are multiple, for example some are geographically specific, many remain unvalidated, some lack clinical utility. . Read more

Data-driven optimal prediction of bacteria growth

This project is devoted to an AI-based prediction of bacteria growth and its control by antibiotics. In synthetic biology, an improved understanding of bacterial regulatory circuits is required to develop complex biological systems with functionalities beyond existing in nature [1, 2]. Read more

Data-driven optimal prediction of bacteria growth

This project is devoted to an AI-based prediction of bacteria growth and its control by antibiotics. In synthetic biology, an improved understanding of bacterial regulatory circuits is required to develop complex biological systems with functionalities beyond existing in nature [1, 2]. Read more

Real-Time Brain Injury Prediction and Protection Framework for Intelligent Vehicles

The advancement of intelligent vehicles (IVs) has significantly improved their collision avoidance capabilities under normal driving conditions, yet the complete prevention of accidents remains elusive. Read more

Clinical Prediction Modelling under Federated Learning

Clinical prediction models (CPMs) take a set of characteristics about a patient to estimate their risk of an event of interest. Developing CPMs using data that captures observations across multiple clusters (e.g., countries) can increase the robustness and generalisability of CPMs. Read more

Machine learning analysis of large-scale crystal structure prediction

Supervisory Team:  Prof. Graeme Day. Project description. A fully funded 3.5-year PhD studentship is available in the area of computational materials discovery, as part of a prestigious international Synergy grant funded by the European Research Council. Read more

Optimal prediction of dynamical systems with incomplete data

Dynamical systems describe a variety of real-life problems related to evolution over time. It is often the case that the problems are so complicated that mathematical models for them either do not exist or are not accurate enough. Read more

Explainable prediction modelling for early detection of risks in multiple long-term conditions using health records data

Multiple Long-Term conditions (MLTC) are a major healthcare challenge associated with high service utilization and expenditure. In the project, the candidate will help develop robust and explainable AI methods for MLTC risk prediction. Read more

IoT techniques for disaster prediction and mitigation

IoT techniques can be applied in many fields, including disaster prediction and mitigation by early warning systems. Due to the climate changes, torrential rain and unseasonable high temperature become more common and these could be a trigger of hazards, such as flooding and landslides. Read more

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