Project Code
MRCNMH26Ex Richards
Project Type
One of the chief advantages of this proposed project is that it intimately combines both theoretical work (including mathematics, programming, image analysis and machine learning) with wet-lab work (including cell culture and time-lapse imaging). This interdiciplinary combination is increasingly being used in both biological and biomedical research and will give the student an excellent, highly sought after skillset that will place them in a strong position for a broad range of career options.
Research Theme
Neuroscience and Mental Health
Project Summary Download
Summary
During this exciting, fully-funded PhD, you will use machine learning to automatically classify the state of microglia (the brain’s specialised immune cells). This will involve combining mathematics, computer programming and artificial intelligence with real experimental data to develop both supervised and unsupervised methods to predict microglial state. You will have the opportunity to collaborate with researchers in Exeter, Bristol, Newcastle and Leeds. This work has significant potential applications throughout biology and medicine, including in drug discovery, cancer and neurodegenerative conditions such as motor neuron disease, Parkinson’s disease and Alzheimer’s disease.
Lead Supervisor
Dr David Richards
Lead Supervisor Email
University Affiliation
Exeter