Scientific Statistical Modeling
Potential PhD projects include
- Statistical methods applied to Anglo-Saxon archaeological data (Supervisor: Wilfrid S. Kendall)
- Statistics and quality control using Computerised Tomography in the context of Additive Layer Manufacturing
[3D printing] (Supervisor: Wilfrid S. Kendall) - Quad-Trees, Multiresolution image analysis, and boundaries (Supervisor: Wilfrid S. Kendall)
- Understanding intrinsically disordered proteins through Bayesian computation (Supervisor: David Wild)
- Modelling the citation life-histories and predicting trajectories of published research (Supervisor: David Firth)
- Modelling individualised medical decision making in situations with complex uncertain information (Supervisor: Julia Brettschneider)
- Modelling spatial distributions of macromolecules in cells (Supervisor: Julia Brettschneider)
- Reliability in population based medical screening (Supervisor: Julia Brettschneider)
- Statistics and the Life and Death of Pixels (Supervisors: Julia Brettschneider and Wilfrid S. Kendall)