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Bioinformatics (barts) PhD Projects, Programs & Scholarships

We have 5 Bioinformatics (barts) PhD Projects, Programs & Scholarships

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  Enhancing radiotherapy sensitisation and improving cancer control by modulating tumour microenvironment derived angiocrine signalling
  Prof K Hodivala-Dilke, Dr S Boulton
Application Deadline: 16 March 2020

Funding Type

PhD Type

Background. Radiotherapy resistance constitutes a major limitation for effective cancer treatment, emphasising the need to understand the mechanism(s) of radiotherapy sensitisation.
  Defining how skin fibroblast lineage identity and specificity is maintained ex vivo
  Dr E Rognoni, Dr J Connelly
Application Deadline: 6 March 2020

Funding Type

PhD Type

This is an exciting opportunity for a PhD studentship within the world-renowned William Harvey Research Institute at Barts and The London Medical School and Dentistry (SMD) at Queen Mary University of London (QMUL).
  ExomiR resetting of the energy profile in Hepatocellular Cancer (HCC) via the mitochondrial proteome
  Prof N Heaton, Dr S E Khorsandi
Application Deadline: 30 April 2020

Funding Type

PhD Type

Project description. The issue/problem. Hepatocellular cancer (HCC) is a primary liver cancer and one of the commonest cancers in the world.
  Stratification of clinical risk in Primary Sclerosing Cholangitis (PSC)
  Prof N Heaton, Dr S E Khorsandi
Application Deadline: 30 April 2020

Funding Type

PhD Type

Project description. The issue/problem. Primary Sclerosing Cholangitis (PSC) is classified as a rare liver disease with an incidence of 0.77 per 100,000 person-years and compared to the general population, PSC mortality is 3 x higher.
  Overcoming the penetration depth limitations of optical coherence tomography in clinical dentistry using full electromagnetic wave computer models
  Dr P H Tomlins, Dr R Donnan
Applications accepted all year round

Funding Type

PhD Type

Background. In healthcare, imaging is one of the most important diagnostic tools available. Deep tissue imaging is usually achieved using either ionising X-Ray radiation, MRI which is expensive or ultrasound, which has low resolution.
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