Research Fellow in Multimodal Medical Imaging: We are seeking a highly motivated Research Fellow to join our team, focusing on the development of cutting-edge Artificial Intelligence systems in healthcare. This position offers the opportunity to contribute to the digital transformation of healthcare through the integration of multimodal data aimed at improving patient risk stratification and early cancer detection.
Research Fellow in Computer Vision for Multimodal Medical Imaging
Designation
Research Fellow
Research Area
Computer Vision in Multimodal Medical Imaging
Location
Leeds – Main Campus, University of Leeds
Eligibility/Qualification
- A degree in Computer Science, Engineering, or a related field.
- Experience in computer vision or machine learning.
- Previous work with medical imaging datasets (like endoscopic or whole-slide imaging) is desirable.
- Strong research aptitude and willingness to collaborate with multidisciplinary teams.
Job Description
As a Research Fellow, you will:
- Investigate the integration of multimodal data to improve clinical outcomes.
- Develop innovative computer vision methods to enhance decision-making processes in healthcare.
- Collaborate with computational scientists, pathologists, and clinical experts to explore novel approaches in early cancer detection.
- Work on creating prognosis platforms using advanced algorithms developed from separate methods pertaining to endoscopy and WSI.
- Be a leading researcher in Dr. Sharib Ali’s group, focusing on impactful research in medicine and surgery.
How to Apply
Interested candidates should submit their application online or email Dr. Sharib Ali for further queries at S.S.Ali@leeds.ac.uk.
Last Date for Apply
Sunday, 18 May 2025
Join us in transforming healthcare through innovative research and technology!
