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  MRC DiMeN Doctoral Training Partnership: Machine learning approaches to prediction and prognosis in haematological cancers


   MRC DiMeN Doctoral Training Partnership

This project is no longer listed on FindAPhD.com and may not be available.

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  Prof David Westhead, Dr R Tooze  No more applications being accepted  Competition Funded PhD Project (European/UK Students Only)

About the Project

This project will use large scale genomic data, including sequencing of gene panels and whole genomes, epigenetic data and genome-scale gene expression (transcriptome) data, to build predictive and prognostic models for haematological cancers using machine learning with the aim to discover new and potentially targetable molecular endtypes and the development of novel therapies.

Funding Notes

This studentship is part of the MRC Discovery Medicine North (DiMeN) partnership and is funded for 3.5 years. Including the following financial support:
Tax-free maintenance grant at the national UK Research Council rate
Full payment of tuition fees at the standard UK/EU rate
Research training support grant (RTSG)
Travel allowance for attendance at UK and international meetings
Opportunity to apply for Flexible Funds for further training and development
Please carefully read eligibility requirements and how to apply on our website, then use the link on this page to submit an application:http://www.dimen.org.uk/how-to-apply/application-overview

References

Sha C, Barrans S, Care MA, Cunningham D, Tooze RM, Jack A, Westhead DR Transferring genomics to the clinic: Distinguishing Burkitt and diffuse large B cell lymphomas Genome Medicine 7, 2015

Care MA, Barrans S, Worrillow L, Jack A, Westhead DR, Tooze RM A microarray platform-independent classification tool for cell of origin class allows comparative analysis of gene expression in diffuse large B-cell lymphoma. PLoS One 8 e55895-, 2013

Where will I study?