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We have 79 Data Analysis (modelling) PhD Projects, Programmes & Scholarships

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Data Analysis (modelling) PhD Projects, Programmes & Scholarships

We have 79 Data Analysis (modelling) PhD Projects, Programmes & Scholarships

Computationally efficient modelling & simulation and applications

The advent of easily accessible high performance computers or computer clusters and numerical techniques such as finite element methods (FEM) facilitates the highly accurate modelling and simulation of complex systems in diverse science and engineering disciplines including civil engineering, biomechanics and life science. Read more

Physics-based Multi-scale Modelling of Multi-Material Additive Manufacturing

Project Details. Additive manufacturing (AM) is emerging as a promising alternative for designing multi-material parts for complex geometries in engineering applications; especially in the biomedical sector. Read more

Machine Learning and Molecular Modelling in Mass Spectrometry

This PhD project will harness the power of computational modelling and machine learning (A.I.) to analyse data obtained by mass spectrometry experiments and predict structural characteristics of biomolecules and their interactions. Read more

AI Powered Personalized Virtual Heart Modelling

Supervisory Team: Dr Lei Li, Prof. Age Chapman. Project description. In this unique PhD project, we aim to develop advanced AI models for creating cardiac digital twins, i.e., virtual heart models. Read more

Personalising cancer treatment with tumour evolution modelling using AI-based genomics biomarkers and PK/PD

Tumour heterogeneity is a major problem limiting the efficacy of targeted oncological therapies. Most advanced tumours eventually become resistant to the treatments, ultimately making the patient succumb to metastatic disease. Read more

Network-based predictive modelling of cardiovascular disease risk

The risk of cardiovascular disease (CVD) is orchestrated by multiple factors. QRISK models (currently QRISK3) have been used in the UK to estimate CVD risk within the next 10 years for individuals without CVD. Read more

Normative modelling of resting-state EEG across the lifespan for application in the early diagnosis of neurodegenerative disorders including Alzheimer’s disease

With a rapidly aging human population worldwide, neurodegenerative diseases represent a pressing medical and societal concern. Given the increase in life expectancy, dementia is expected to affect almost 152 million people by 2050 (Alzheimer’s Disease International, 2018). Read more

Fractional order modelling of neurons

Project Overview. Fractional order calculus (integro-differential equations that are of non-integral order) is an emerging methodology with wide applications across all areas of Physics and Engineering. Read more

Computer Vision with Deep Learning for Human Data Modelling

This project is focused on learning algorithms to model human data such as human images/video, 3D skeletal motion, 3D body/facial surfaces for computer vision tasks such as recognition, prediction and reconstruction. 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

Understanding eye-hand coordination in object interception - a computational modelling approach

This PhD project with Dr Yeo will focus on understanding how we perform interception. Interceptive movements--such as catching a gently thrown ball, quickly grabbing a tilting cup to avoid spilling or even just handshaking someone--feel like trivial everyday tasks for us that seemingly look too simple to study. Read more

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