Potential PhD projects in this area include:

• Understanding intrinsically disordered proteins through Bayesian computation (Supervisor: David Wild)
• Machine learning and predictive policing for modelling crime and criminal behaviour (Supervisor: Theo Damoulas)
• Skew normal distributions and multiple level missing data (Supervisor: Jane L Hutton)
• Chain event graphs, missing data and chronic disease mortality or morbidity (Supervisor: Jane L Hutton)
• Predicting accident liability of learner and new drivers: large datasets from the Transport Research Laboratory (Supervisor: Jane L Hutton)
• How can we model the brain and its PET images (Supervisor: Adam Johansen)