RDM Division of Cardiovascular Medicine, John Radcliffe Hospital, Oxford, OX3 9DU
The University of Oxford is looking for a highly motivated and skilled Postdoctoral Research Assistant to join our team. The successful candidate will work on integrating and analysing large, multidimensional imaging datasets, particularly focusing on MRI data from the heart and other organs (brain, heart, liver and kidney) to advance clinical guidelines. The candidate will be involved in image analysis and the application of AI in automating some of the analysis and in interpreting the data and in developing automated pipelines for image analysis of multiorgan datasets.
This project aims to harness machine learning techniques to combine and analyse complex imaging and clinical datasets to advance our understanding of cardiac and extracardiac conditions. The researcher will be involved in collaborative decision making.
Oxford is world-famous for research excellence and home to some of the most talented people from across the globe. Our work helps the lives of millions, solving real-world problems through a huge network of partnerships and collaborations. The breadth and interdisciplinary nature of our research sparks imaginative and inventive insights and solutions.
You will have a Masters or Ph.D. in a relevant field such as Computer Science, Biomedical Engineering, Medical Imaging, or a related discipline, background in coding (R or python), machine learning, with a focus on medical imaging and technical ability (knowledge and experience).
For the right individual, this varied and stimulating role offers the opportunity to contribute directly to our world-leading position, and the impact of our researchers on the world.
Application Process
If you would like further information about the role, please contact Betty Raman [email protected]. Interviews will take place week of the 23rd Sept
You will be required to upload a covering letter with a supporting statement, CV and the details of two referees as part of your online application. In your supporting statement, please explain why you would like to do this role and how you meet the selection criteria in the job description.
Contact Person : Betty Raman Vacancy ID : 175418 Contact Phone : Closing Date & Time : 20-Sep-2024 Pay Scale : STANDARD GRADE 6 Contact Email : [email protected] Salary (£) : Grade 6 £33,832-£39,705