Projects with open positions
AI and computational pathology image processing for lung cancer research
Postdoc in machine learning
A rare and rewarding opportunity to participate in a prospective, pioneering study of lung cancers and collaborate with world-leading teams on the TRACERx program. You will lead the development of exciting new computational pipelines for processing digital pathological images of lung cancer, with an opportunity to integrate image data with next-generation sequencing. Join a highly motivated team of computer scientists and bioinformaticians with diverse expertise, working closely with clinicians in the vibrant centre of cancer research discovery at ICR London in the endeavour to cure cancer!
Deep learning the chemopreventive action of NSAIDs in Barrett’s oesophagus
Fully funded PhD studentship
There is an urgent need for effective strategies to predict and prevent the progression from Barrett’s oesophagus to oesophageal adenocarcinoma, a devastating cancer with 15% average five-year survival. NSAIDs, such as aspirin, are the most tested cancer chemopreventive agent and have been shown to reduce cancer progression in many contexts, however their mechanism of action remains obscure. This project will bring together digital pathology, artificial intelligence, and integrative bioinformatics to define the spatiotemporal co-evolution of inflammation, morphology and genetics influenced by drug treatment.