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Deep learning to guide immunology for the discovery of immune-oncology targets

  • Full or part time
  • Application Deadline
    Monday, May 06, 2019
  • Funded PhD Project (Students Worldwide)
    Funded PhD Project (Students Worldwide)

Project Description

The aim of this project is to use artificial intelligence to tackle one of the major challenges in improving cancer care: precision immunotherapy. Systemic immunotherapy has revolutionised the therapeutic landscape of cancer. However, the fact remains that the majority of patients do not respond to treatment. New, integrative approaches that combines diagnostic pathology with experimental immunology, enabling comprehensive tumour spatial and molecular mapping, could represent a new type of methodologies that ultimately change the way we study cancer and enhance our ability to deliver precision medicine tailored for individual patients.

Deep learning at the forefront of artificial intelligence has emerged as the new frontier in computer vision and big data analysis. This project will build a multidisciplinary collaboration bridging artificial intelligence, image analysis, multiplex immunolabelling and tumour immunology between the three lead supervisors with complementary expertise at ICR and UCL. Outcome of the project is the delivery of technological innovations based on deep learning and digital pathology for the discovery of novel immune regulatory and suppressive pathways, directly enabling the identification of targetable immune regulatory pathways.

Candidate profile

Candidates must have a first class or upper second class honours BA or BSc Honours/MSc or equivalent in computer science, statistics, bioinformatics or equivalent quantitative disciplines.

How to apply

Full details about these studentship projects, and the online application form, are available on our website, at: Applications for all projects should be made online. Please ensure that you read and follow the application instructions very carefully.

Closing date: Monday 6th May 2019
Applicants should be available for interview mid May 2019.

Please apply via the ICR vacancies web portal

Funding Notes

Full funding is available

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