PhD project title: Machine learning approaches for the analysis of circulating tumour DNA
Full PhD advert<https://www.findaphd.com/phds/project/mrc-dimen-doctoral-training-partnership-machine-learning-approaches-for-the-analysis-of-circulating-tumour-dna/?p114662>
We’re pleased to offer this PhD project based at the University of Liverpool for entry in September 2020. This project will be co-superived by Dr Anna Fowler, Prof. Andrea Jorgensen and Dr James Cook and the student will be encouraged to spend time with industrial partners.
Project description:
Tumour cells arise from genetic variants (usually mutations) in cells, which lead to unrestrained cell division. Identifying these genetic variants, and monitoring them over time and treatment, would allow us to detect cancer at an early stage, tailor treatment to specific tumour type, and determine treatment response or remission. Genetic sequencing of circulating tumour DNA provides a non-invasive method of identifying tumour mutations, however analysis of this sequencing data is complex. This project will use machine learning approaches to improve detection of ctDNA and to determine its clinical utility.
This project is funded through the MRC Discovery Medicine North doctoral training partnership: http://www.dimen.org.uk/, and is an industrial CASE project.
We particularly invite candidates with a background in statistics, computer science or a related field.
Potential applicants should contact Dr Anna Fowler [log in to unmask]<mailto:[log in to unmask]> to find out more.
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