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Biomedical Engineering (mobility) PhD Projects, Programs & Scholarships

We have 6 Biomedical Engineering (mobility) PhD Projects, Programs & Scholarships

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  Machine Learning for the next generation of paediatric wheelchairs
  Dr P Paoletti, Dr S Luo
Application Deadline: 28 May 2019

Funding Type

PhD Type

The project is supported by the University of Liverpool Doctoral Network in Future Digital Health, which is directed at creating and maintaining a community of AI health care professionals that can realise the benefits that AI can bring to Health Care.
  Multi-Sensor Data Fusion and Smart Decision Making
  Prof L Mihaylova
Applications accepted all year round

Funding Type

PhD Type

The aim of this project is to develop scalable models and algorithms for fusion of big data in complex systems. The project will focus on problems from smart cities –such as traffic modelling, mobility prediction and control.
  Understanding the functional and mechanical implications on the lower limb of partial foot amputation in people with vascular disease
  Prof a McGregor, Mr J Shalhoub
Application Deadline: 27 May 2019

Funding Type

PhD Type

Amputation due to both vascular disease and diabetes results from a combination of lack of sensory perception in the feet and a poor capacity for wounds to heal.
  Synthesis of biocompatible conducting nanowires
  Dr Mark Del Borgo, Dr Ketav Kulkarni, Prof Mibel Aguilar
Applications accepted all year round

Funding Type

PhD Type

This project aims to functionalise β-peptides with organic conductors to create novel biocompatible conducting nanowires. Organic bioelectronics studies the development of devices that translate an electrical signal into a physiological response from cells, tissues or organs.
  Nanolaminate dielectrics and GaN nanostructures for device applications
  Dr I Mitrovic, Dr I Sandall, Prof V Dhanak
Application Deadline: 15 June 2019

Funding Type

PhD Type

Semiconductors are the cornerstone of modern electronic and optoelectronic devices. A given device often requires a specific energy band gap, or a junction of two or more semiconductors.
  Next generation wearable healthcare sensors
  Prof S Sherratt, Prof W Harwin, Dr S Hadjiloucas, Dr F Hwang
Applications accepted all year round

Funding Type

PhD Type

The aim of this project is to research and develop the next generation of Internet of Things (IoT) connected wearable sensor technologies for applications in healthcare and physiotherapy.
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