AI/ML Postdoctoral Fellow – F Rouhani lab

Lead a computational project on how driver-mutation clones interact with their tissue microenvironment in chronic liver disease and liver cancer. Jointly supervised with the Lotfollahi lab at the Wellcome Sanger Institute, the fellow will develop graph neural network, transformer and generative AI methods for spatial transcriptomics, single-cell, histology and imaging data, including clonal reconstruction and spatial mapping.

PhD (or near submission) in computational biology, machine learning, computer science, statistics or a related quantitative discipline. Experience applying deep learning or other AI/ML methods to complex scientific data and strong Python skills (for example NumPy, pandas, PyTorch or JAX). Prior genomics experience is not essential; spatial or single-cell genomics, foundation models and HPC or cloud workflows are desirable.