See posting at :https://postdocs.stanford.edu/prospective/opportunities/open-postdoctoral-position-faculty-mentor-lisa-marie-knowlton

The highly motivated candidates should be passionate about the development and implementation of machine learning in clinical surgical settings and its implications on healthcare policy. This position offers a unique opportunity to first contribute to federally funded research on the advancement of real-time visualization of critical anatomical structures using hyperspectral optical imaging technology. The candidate will also work within the team to identify and contribute to other new research opportunities. The candidate must be able to work in a highly inter-disciplinary team of physicians, AI-scientists, and bioengineers. Specific responsibilities might include but are not limited to collection and processing of intraoperative imaging data, imaging instrument prototyping and problem-solving, patient-level clinical data collection and selecting and applying a variety of computational models towards novel clinical medical / surgical research domains.

The successful candidate will be based in the Department of Surgery at the Stanford University School of Medicine and will have opportunities to work with a diverse group of researchers. The fellowship has two primary goals: to advance the research program on artificial intelligence in surgery, and to develop the career and interests of the Fellow. This will include compiling and analyzing datasets, developing, training, and testing algorithms, presenting at national conferences and leading the drafting of manuscripts. In addition, the Fellow will have opportunities to partner and collaborate with faculty and programs across the University, other academic institutions and with our research partners in industry.