Changing the scale of Numerical Weather Prediction
The primary aim of the project is to develop, analyse adaptive SISL methods and to apply them to realistic meteorological problems.
Documents and other files you can download.
The primary aim of the project is to develop, analyse adaptive SISL methods and to apply them to realistic meteorological problems.
This project takes a co-ordinated transdisciplinary approach, using a combination of in vivo and ex vivo techniques.
Dr Iina Ikonen, Marketing, Business & Society Division
Professor Edmund Thompson, Strategy & Organisation Division
The aim of this project is to develop computational models of HF, which can be used to aid treatment optimisation.
The Concordat to Support the Career Development of Researchers Action Plan (2019-22) was published in 2019.
Guidance about Confirmation for the Supervision team, Directors of Studies, Internal Examiners and Doctoral College Staff.
Professor Andrew Crane, Marketing, Business & Society Division
Professor Edmund Thompson, Strategy & Organisation Division
Dr Meng Meng, Information, Decisions & Operations Division