A knowledge-based AI for arthropod vectored diseases
The aim of this project is to build a semantic geopolitical map of arthropod-vectored disease.
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The aim of this project is to build a semantic geopolitical map of arthropod-vectored disease.
This highly interdisciplinary PhD project will combine engineering with life science, material chemistry mathematics and physics.
In this interdisciplinary project, you will analyse the role of lncRNA in the transcriptional co-ordination on three levels.
The aim of this research is to make evolutionary and genomic tools work for industry and to improve the outcomes of fungal interactions that matter for people.
This project will combine leading research in behavioural and implementation science.
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.
The aim of this project is to develop computational models of HF, which can be used to aid treatment optimisation.
Guidance about Confirmation for the Supervision team, Directors of Studies, Internal Examiners and Doctoral College Staff.
The aim of this project is to define the role efflux systems play in biofilm formation, using P. mirabilis as a clinically relevant model organism.