Artificial Intelligence driven Biomedical Imaging Innovation

Together with the University of Salzburg, the Salzburg University of Applied Sciences con- vinced the FWF jury with its concept for a doc.funds.connect doctoral programme. Six PhD positions on AI-supported innovation in biomedical imaging will start 2025. State-of-the-art imaging technologies provide unprecedented insights into cellular processes and disease mechanisms. However, these innovations generate enormous amounts of data, the analysis of which requires highly specialised expertise. This is precisely where REVELA- TION comes in, a new doctoral programme jointly run by the Salzburg University of Applied Sciences and the Paris Lodron University of Salzburg. Geja Oostingh, coordinator of the pro- gramme at Salzburg University of Applied Sciences, says: REVELATION sets new stand- ards in interdisciplinary education and research and will contribute significantly to the devel- opment of future experts in science and industry. Building on the joint Master`s degree programmes Applied Image & Signal Processing and Medical Biology, six closely linked dissertations on key topics such as Helicobacter pylori in carcinogenesis, Diagnostic tools using stain-free cell-based systems and Transport path- ways of extracellular vesicles will be developed as part of the programme. Five doctoral po- sitions are funded by the FWF, one by the province of Salzburg. The projects combine basic research with applied science and aim to advance both our un- derstanding of biological processes and the development of new therapeutic options. Re- searchers from the fields of cell biology, microbiology, immunology, bio-imaging, computer vision and machine learning work closely together to develop innovative solutions together with the doctoral students. The future doctoral students are intensively supervised by both institutions and can also gain valuable experience abroad and collaborate with leading inter- national scientists and renowned companies during the programme. The aim of the programme is to train a new generation of interdisciplinary researchers who combine biomedicine and image analysis with the latest methods of artificial intelligence. 1|

No additional funding sources recorded.