About the job

This full-time position at the University of Glasgow is part of an interdisciplinary project within the Glasgow Living Lab focused on using Artificial Intelligence (AI) to improve cancer outcomes. The successful candidate will contribute to the development of innovative AI models that integrate digital histology and spatial omics data to predict patient outcomes. Appointed within the School of Cancer Sciences, the researcher will work under the guidance of Dr. Ke Yuan and Professors John Le Quesne and Kevin Blyth. Key responsibilities include planning and conducting research, analyzing data, publishing results in high-impact journals, presenting at conferences, and collaborating across disciplines. Applicants should have strong skills in Python programming and experience with deep learning frameworks like TensorFlow and PyTorch. Experience or interest in medical imaging and omics analysis is desirable. The role also includes mentoring students, contributing to grant proposals, and performing some administrative and teaching duties. Visa sponsorship is available under the UK Skilled Worker route. The role is funded for 12 months and offers an excellent employment package, including up to 41 days of annual leave, pension benefits, and a commitment to staff wellbeing and diversity.