The development of digital pathology has resulted in radically better patient care and medical research. The cellular microenvironment is complex, but the introduction of tools like Imaging Mass CytometryTM (IMCTM, Fluidigm) and high-plex fluorescence staining panels has boosted researchers' capacity to probe it (e.g. The development of techniques for spotting significant variations in the datasets has become more difficult as a result of increases in the volume and complexity of the data that these technologies produce. Dr. Heather Stevenson is the Director of Transplantation Pathology at the University of Texas Medical Branch and an Associate Professor there. Her main area of study is hepatic immunology, specifically how dysregulation of the immune system contributes to the fibrosis development.

Candidates should have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. We expect that you have studied topics in computer science, mathematics, or similar including experience in image analysis, computer vision, machine learning, etc. Furthermore, the ability to program in Python, Matlab, C, or similar is important. Also, the ability to work in a multidisciplinary environment is essential, as is a good command of the English language. Multispectral imaging can be used for indirectly measuring the microorganisms associated with the plant leaves.