PhD: Breast Cancer Biomarkers through Systems Pathology and Deep Learning
Cambridge, United Kingdom
Apply by · 18 days left
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.
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.
Related Job Opportunities
PhD in Probabilistic Machine Learning and Statistics
Three-year doctoral position at the Oslo Centre for Biostatistics and Epidemiology, developing probabilistic methods for complex biological data. Research will combine latent-variable modelling…
Direct Doctorate Fellowship: Neuroscience and Human Brain Models
Funded doctoral research position investigating focal cortical dysplasia using stem-cell-derived human brain models, starting in January 2027. The researcher will generate and maintain neural…
PhD Researcher
The Future Health Technologies 2 programme seeks a doctoral researcher to develop deep-learning models that predict personalised hip-fracture risk from bone-density and CT scans. Research will…
Source: cam.ac.uk