intersection of digital pathology, machine learning, and computational biomedical sciences. The role involves developing and applying advanced artificial intelligence methods to digital pathology data, including whole-slide imaging, computational image analysis, and multi-modal clinical data integration. The research aims to improve disease diagnosis, prognostic modelling, and precision … medicine approaches. The postholder will work closely with multidisciplinary teams of clinicians, data scientists, and biomedical researchers. Responsibilities include designing and implementing AI algorithms, managing and analysing large-scale pathological imaging datasets, contributing to high-impact publications, supporting grant applications, and collaborating on translational research projects. The role ...