Postdoc position for research deep learning for pathology diagnostics, based at the Center for Medical Image Science and Visualization at Linköping University Hospital.
The position is part of a joint collaboration between WASP and the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS).
Work assignments
A Postdoc will essentially carry out research. The position may also involve teaching, but during no more than a fifth of work time. As a postdoctoral researcher in this project, you will collaborate with medical and technical scientists, as well as clinical colleagues.
Pathology diagnostics is a central part of the clinical trajectory for many patients. Pathology involves microscopic study of human tissues and cell samples to detect and classify disease states. As imaging data increasingly is becoming digitized, there are ample opportunities for AI to diagnostically analyze the images – often at a level comparable to human experts. The potential benefits of AI are perhaps greatest in low-resource settings lacking medical resources, which is one target scenario for our research.
The method development in this project will be at a high technical level, for instance exploring novel generative methods for histology data. A key aspect of our work is also to thoroughly address the demands from real clinical usage. Such demands include high performance, close adherence to diagnostic workflows, and capacity to deal with data of limited quality. You will be active in an environment with several experts working towards similar goals.