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We have 42 Biomedical Engineering (machine learning) PhD Projects, Programmes & Scholarships

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Biomedical Engineering (machine learning) PhD Projects, Programmes & Scholarships

We have 42 Biomedical Engineering (machine learning) PhD Projects, Programmes & Scholarships

Applying novel imaging methods and machine learning techniques to advance in-vivo knee biomechanics analysis

3 years full time start date July/October 2024. Project Summary. This is an opportunity to work on an exciting project focussed on machine learning applied to in-vivo knee biomechanics working with Cardiff University, Imperial College, Katholieke Universiteit Leuven and University of Florida. Read more

Fully funded PhD studentship: Transforming respiratory care at the bedside using machine learning assisted on-chip vibrational spectroscopy

Supervisory Team. Prof. Senthil Murugan Ganapathy. Project description. Acute respiratory distress syndrome (ARDS), a widespread respiratory condition affecting all ages, causes respiratory failure due to inflamed, fluid-filled lungs hindering gas exchange. Read more

Characterisation of tissue microstructure from non-invasive MRI using Machine Learning

The characterisation of biological tissue microstructure in vivo and non-invasively is of outmost interest in science. If successful, it could reveal unique insights into biological processes, including aging and cancer. Read more

Machine learning approaches to cross-modal information fusion in podiatric X-ray imaging

Supervisory Team.   Thomas Blumensath (ISVR), Alex Dickinson (Engineering Sciences). Project description. Three dimensional images of the foot taken under loading conditions can provide a valuable clinical tool for the assessment of bone alignment related complaints. Read more

Remote patient monitoring using wearable devices and AI

Artificial intelligence (AI) has permeated various aspects of modern life, significantly influencing the healthcare sector. Fuelled by this momentum, remote patient monitoring facilitated by mobile sensing technology is on the way to changing how patients are monitored and treated. Read more

Adaptive Signal Processing for Dynamic Environments

In recent years the cost of many sensors has decreased, which combined with increased ease of use has led to a vast increase in the number of sensors being employed to measure increasingly complex environments. Read more

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