Astra-Zeneca Non-Clinical PhD Studentship - Multimodal and multiscale imaging: interrogating renal morphology and function across the disease landscape

This project will bring together groups of researchers working in imaging data integration, bridging across a range of scientific and clinical disciplines. We will use renal disease, including diffuse renal disease and cancer, for proof-of-concept data and the project will facilitate new academic-industry partnerships. It will identify key aspects of metabolic imaging that could be used as diagnostic, prognostic and predictive biomarkers. A key aim will be to integrate these diverse datasets across scales. We will utilise artificial intelligence and machine learning approaches to evaluate the molecular drivers for the metabolic signatures of disease on imaging across disease settings. We will create a powerful and versatile model for probing renal metabolism across spatial scales. The impact of the models will be analysed and validated in datasets from multiple sites.

We are looking for a highly motivated and enthusiastic individual capable of thinking and working independently. Applicants should have or shortly expect to obtain a first or high 2:1 bachelor's degree from a UK university, or an equivalent standard from an overseas university, in a relevant subject such as imaging, physics, biology, biochemistry, chemistry, computational science, data analysis, artificial intelligence, machine learning, or medicine.