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 Research page.
We are currently recruiting for up to 4 MRC funded BSU studentships to commence in either Easter Term (UK applicants only) or Michaelmas Term 2020.
To apply for a PhD Studentship please visit https://www.mrc-bsu.cam.ac.uk/training/phd/application-procedure/.
Our initial round of recruitment will close on Tuesday January 7th 2020- when we will consider all applications as part of a gathered field at this time. (*Except applicants applying for a USA Gates scholarship who will be considered after the October 9th 2019 deadline)
List of available projects:
- Data-adaptive approaches for causal inference– Stephen Burgess
- Modelling the association between blood pressure variability and cardiovascular disease– Jessica Barrett
- Evidence synthesis in health impact models for interventions to prevent chronic diseases– Chris Jackson, Anne Presanis and Daniela De Angelis
- Accounting for heterogeneity in network neuroscience: extending the Bayesian Exponential Random Graph Model to infer and identify group differences– Simon White, Brian Tom and Brieuc Lehmann (University of Oxford)
- Conditional false discovery rates in high dimensional data sets– Chris Wallace
- Dynamic prediction of in-patient mortality based on electronic health record data: a comparison of landmarking and machine learning approaches– Steven Kiddle and Jessica Barrett
- Improving statistical methods for trial emulations using observational data– Li Su and Shaun Seaman
- Statistical and machine learning analysis of images of platelet formation– William Astle and Cedric Ghevaert (University of Cambridge)
- Trajectories of modifiable risk factors and their influences on disease outcomes: using genetics in life course epidemiology– Stephen Burgess and Jessica Barrett
- Epidemic modelling with online model assessment: value of information and conflict– Anne Presanis, Chris Jackson and Daniela De Angelis
- Modelling the effect of gender on survival in cystic fibrosis patients– Jessica Barrett and Brian Tom
- How to detect changes in cognition trajectories: longitudinal study design to efficiently estimate biomarker change-point outcomes and time-to-change-point– Simon White, Brian Tom and Brieuc Lehmann (University of Oxford)
All informal enquries about any of the above to be directed to email@example.com