PhD: Breast Cancer Biomarkers through Systems Pathology and Deep Learning
Cancer Biology, Deep Learning, Computational Biology and PhD position at University of Cambridge
Closed on Friday, Oct 16
About
Fully funded doctoral studentship in the Ali Lab at the Cancer Research UK Cambridge Institute, starting in October 2027. The project combines spatial multiomics with deep learning to identify treatment-response biomarkers in breast cancer. It will analyse large multimodal datasets from observational cohorts and clinical trials, using representation and cross-modal learning to study target expression, tissue architecture and tumour heterogeneity. Training spans quantitative pathology, multiplexed imaging and predictive modelling.
Topics
- breast cancer
- Spatial multiomics
- Deep Learning
- treatment-response biomarkers
- multimodal datasets
- observational cohorts
- clinical trials
- cross-modal learning
- quantitative pathology
- multiplexed imaging
Requirements
Applicants may come from quantitative disciplines such as computer science, AI or mathematics; biologists and clinicians with computational experience are also encouraged. Apply through the University Applicant Portal linked from the advert, select October 2027 entry and quote reference SW50984. Request references promptly. Consult the course and funding particulars for detailed admission and funding conditions.
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Source: cam.ac.uk