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Dissecting the Multi-Scale Mechanisms of Cardiac Arrhythmias Through Computational Modelling (Biological Physics / Biophysics / Biomedical Engineering - Fully Funded Project)

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  • Full or part time
    Dr Michael Colman
    Prof E White
  • Application Deadline
    No more applications being accepted
  • Funded PhD Project (European/UK Students Only)
    Funded PhD Project (European/UK Students Only)

Project Description

Cardiovascular disease is a leading cause of morbidity and mortality in the developed world, yet current treatment strategies are sub-optimal. There is therefore a pressing need to develop greater understanding of the mechanisms underlying abnormal rhythm in the heart in order to develop more effective prevention and treatment approaches.

Computational modelling - simulation of the electrical and mechanical activity of the heart - has become an increasingly powerful tool in the wider effort to understand, diagnose and treat cardiac disorders. In particular, computational modelling allows true multi-scale investigation, linking behaviour at the sub-cellular scale to organ scale phenomena.

We offer a three-year Ph.D. project to develop and apply multi-scale computational models of cardiac activity to study the role of microscopic sub-cellular fluctuations - driven largely by random processes - in the development of organ scale arrhythmia. The models have been developed within our lab, and therefore we can offer significant support in their use.

The group contains experimental researchers in multiple areas and employing a wide range of cellular- and tissue-level techniques, as well as computational modellers. Many opportunities are therefore available to integrate experimental data in close collaboration, improving the models and applying them to real-world biomedical problems.

Expert training will be provided in:
• Cardiac electrophysiology
• The development of mathematical models of cardiac electrophysiology
• Stochastic and multi-scale modelling techniques, applicable to a wide range of biophysical phenomena
With the option for some experience in experimental techniques such as cellular monitoring and cardiac imaging and reconstruction.

For informal enquiries please contact Dr. Michael Colman at [Email Address Removed]. Visit http://physicsoftheheart.com/ for further details on the research group.

Please apply online here: https://studentservices.leeds.ac.uk/pls/banprod/bwskalog_uol.P_DispLoginNon
Guidance: http://www.fbs.leeds.ac.uk/postgraduate/researchdegree.php#tab4

Funding Notes

We offer a studentship covering academic fees and a stipend of £14,296 p/a for three years.

We seek high-calibre graduates with a First/strong Upper Second Class degree in Physics, Computing, Engineering, Mathematics or related subject, with computer programming proficiency and mathematical skills, who have an interest in the application of techniques to biomedical challenges. Candidates from a Biological Sciences background will be considered providing evidence of experience or personal interest in computer programming and mathematics. An ideal candidate will have experience in statistical physics techniques and modelling approaches, but this is not essential and can be taught during the degree.

How good is research at University of Leeds in Biological Sciences?

FTE Category A staff submitted: 60.90

Research output data provided by the Research Excellence Framework (REF)

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