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

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Dr S Liverani Applications accepted all year round Competition Funded PhD Project (Students Worldwide)

About the Project

The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing in September 2021.

This project will be supervisoed by Dr. Silvia Liverani.

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.

The application procedure is described on the School website. For further inquiries please contact [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

For September 2021 entry: Funding may be available through QMUL Principal's Postgraduate Research Studentships, School of Mathematical Sciences Studentships, and EPSRC DTP, in competition with all other PhD applications.
Studentships will cover tuition fees, and a stipend at standard rates for 3-3.5 years.
We welcome applications for self-funded applicants year-round, for a January, April or September start.
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.

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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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