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PhD Researcher in Breast Cancer Treatment Response Prediction
1 month ago
About the Project
">We are seeking a highly motivated PhD researcher to work on a project entitled 'Multi-modal spatial data integration to predict breast cancer treatment response'. This project aims to develop novel computational tools to parse and integrate multi-modal spatial data from hundreds of breast cancer patients enrolled in neoadjuvant immunotherapy trials.
The successful candidate will be responsible for collating these diverse data, placing them in a shared coordinate space, and unpicking the critical correlations that underpin treatment effect. This project offers the opportunity to build multi-modal predictive models that we will test in independent datasets with the real potential to surpass by far the current state-of-the-art.
Our Research Group
Ours is a diverse and collaborative group that spans clinicians, pathologists, computational and cancer biologists. You will receive extensive training in cancer pathology, highly multiplexed imaging, and predictive modelling. Applications are invited from graduates from quantitative disciplines such as computer science and mathematics, but we also encourage applications from biologists already experienced in computational methods.
Funding and Eligibility
This four-year studentship is funded by Cancer Research UK Cambridge Institute and includes full funding for University fees and a stipend of £21,000 per annum for four years. We welcome applications from both UK and overseas students who hold or expect to gain a First/Upper Second Class degree (or equivalent) in a relevant subject from any recognised university worldwide.
How to Apply
Please apply via the University Applicant Portal. For further information about the course and to access the Applicant Portal, visit: https://www.postgraduate.study.cam.ac.uk/courses/directory/cvcrpdmsc
