Bayesian spatial modelling for health at Queen Mary University of London on FindAPhD.com

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Dr S Liverani No more applications being accepted Funded PhD Project (Students Worldwide)

About the Project

This project will focus on Bayesian spatial modelling techniques to examine the association between measures of population health (such as hospitalisations and mortality) and socio-economic factors. This will be accomplished by developing spatial and spatio-temporal models which can allow for spatially varying coefficients, spatially adaptive priors, and spatial quantile regression. This project will be co-supervised by Prof Peter Congdon.

The application procedure is described on the School website. For further inquiries please contact Dr Silvia Liverani at [Email Address Removed]. This project is eligible for full funding, including support for 3.5 years’ study, additional funds for conference and research visits and funding for relevant IT needs. Applicants interested in the full funding will have to participate in a highly competitive selection process.

Funding Notes

This project can be also undertaken as a self-funded project, either through your own funds or through a body external to Queen Mary University of London. Self-funded applications are accepted year-round.

The School of Mathematical Sciences is committed to the equality of opportunities and to advancing women’s careers. As holders of a Bronze Athena SWAN award we offer family friendly benefits and support part-time study. Further information is available here. We strongly encourage applications from women as they are underrepresented within the School.

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Bayesian spatial modelling for health

Queen Mary University of London School of Mathematical Sciences

This project is no longer listed on FindAPhD.com and may not be available.

About the Project

Funding Notes

How good is research at Queen Mary University of London in Mathematical Sciences?

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