|Funding for:||UK Students, EU Students, International Students|
|Funding amount:||University funded|
|Placed On:||4th August 2022|
|Closes:||18th September 2022|
Over the past few years, medical imaging has grown in popularity and emerged as the most effective tool for addressing global healthcare challenges. It remains unclear, however, why some patients experience significant illness symptoms despite normal lung imaging. Our research aims to tackle the burden of lung diseases such as COVID-19, COPD and Asthma using medical image-based computational modelling and a lung image analysis AI.
The computational model will elucidate the dynamic behaviour of respiratory flows, while the AI will interpret the lung images generated by the computational model and functional imaging modalities. These state-of-the-art tools supporting diagnostic assessment will enable clinicians to interpret lung images accurately, support treatment planning and may lead to new therapeutic interventions. This multidisciplinary research team project will require significant computational programming, modelling, and data analysis in close collaboration with medical imaging and clinical science research experts. The field of this project encompasses the areas of:
Any student interested in pursuing a PhD in one of the above areas, or more broadly in Computational Biomedicine is welcome to apply.
Is the project University funded or self-funded?: University funded
Funding eligibility: Competition funded project (students worldwide)
Who is eligible to apply?: Both UK and International
Full-time/part-time availability: Full-time (3 years)
Closing Date: 18th September 2022
Type / Role: