Achieving an efficient and reliable implementation is one of the many challenges inherent in modeling natural systems. For this project we are looking for a student to work at the interface between modeling disease propagation in the Department of Plant Sciences and programming research in the Computer Laboratory. The project will be based mainly in the Computer Laboratory producing an implementation of a modeling or data management problem which the student will help identify.
This project has broad scope and the student will have the opportunity to influence its direction.
Project supervisor: Dr Andrew Rice and Professor Chris Gilligan