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We have 15 Data Analysis (medical engineering) PhD Projects, Programmes & Scholarships

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Data Analysis (medical engineering) PhD Projects, Programmes & Scholarships

We have 15 Data Analysis (medical engineering) PhD Projects, Programmes & Scholarships

Controlled Synthesis of Virtual Patient Populations with Multimodal Representation Learning

This project invites PhD candidates who are interested in developing generative models that can deal with complex multimodal patient data, contributing to safer, better and faster innovations of medical products via in-silico trials. 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

New frontiers in extreme data analysis

  Research Group: Data Science, Statistics & Probability
The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing in September 2024. . Read more

Understanding Deep Learning

Supervisory Team. Antonia Marcu, Jonathon Hare. Project description. Deep Learning (DL) is a widely successful tool. However, there are many fundamental challenges left to solve in DL. Read more

Biomechanics and wearable sensors

Project Overview. Movement analysis and recording in humans has been confined to dedicated gait and motion capture facilities, but this only records movements for a single part of one day in an unusual environment. Read more

Multimodal Control of Prosthetic Limbs/Paralysed Muscles

This project aims to enhance the quality of life of patients with amputees, spinal cord injury, stroke and brain injury by developing advanced control strategies for artificial limbs. Read more

Active Wearables for Efficient Living

There has been a surge in the use of wearables for sensing health indices such as blood pressure or body stress, to replace or augmenting physical capability [1-4]. Read more
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