*Current PhD Opportunities at the MRC Biostatistics Unit*
The BSU is an internationally recognised research unit specialising in statistical modelling with application to medical, biological or public health sciences. Details of the work carried out in the Unit appear on our website http://www.mrc-bsu.cam.ac.uk/research-and-development/
To apply for any of the following PhD projects, please visit the http://www.mrc-bsu.cam.ac.uk/training/phd/application-procedure/ page.
Deadline for all applications is the *8th January 2017*, with interviews expected to take place on the 24th and 25th January 2017.
1. Developing stratified approaches from randomised trials, with application to recommended intervals between blood donations -Supervisors - Brian Tom (BSU) and Simon Thompson (University of Cambridge
2. Bayesian dose adaptive trials using non-myopic response-adaptive methods-Supervisors - Sofia Villar (BSU) and Adrian Mander (BSU)
3. Developing Bayesian non-myopic response-adaptive randomisation for the case of delayed endpoint observation- Supervisors - Sofia Villar (BSU) and Adrian Mander (BSU)
4. Integrative methods for identifying non-coding rare variants responsible for rare diseases- Supervisors - Ernest Turro (Department of Haematology) and Sylvia Richardson (BSU)
5. Bayesian methods for “weighted” biomedical data- Supervisor - Robert Goudie (BSU)
6. Methods for integrating and splitting complex/big models- Supervisors - Robert Goudie (BSU) and Lorenz Wernisch (BSU)
7. Matching approaches for efficient and robust causal inferences in Mendelian randomization- Supervisor: Stephen Burgess (joining the Unit in January 2017)
8. Hybrid probabilistic model integration for -omics data- Supervisor - Lorenz Wernisch (BSU)
9. Experimental design for inference of gene networks from single cell data- Supervisors - John Reid (BSU) and Steven Hill (BSU)
10. Model-free network inference from single cell data- Supervisor - John Reid (BSU)
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