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Exploring Pancreatic Cell Collectives

by Marjan Slak Rupnik
Photo by: MedUni Wien/feelimage

"By bridging biology with machine learning, we strive to revolutionize our understanding of pancreatic cell collectives, offering hope for improved management and treatment of metabolic diseases like diabetes."

Marjan Slak Rupnik Physiologist and PhD supervisor

We expect our PhD students to be immersed in a world where biology meets artificial intelligence with the combined resources and networks of partners from the Medical University of Vienna, the Institute of Science and Technology Austria and the University of Chicago with dedicated researchers, mentors and collaborators. Each member of the network brings a unique strength and perspective that collectively drives our project forward. The synergy of our team, supported by visionary funding agency, underscores the collaborative spirit essential to groundbreaking research. These collaborations are the foundation of our work, helping us to connect the dots in cell networks and bring new perspectives to our discoveries. We will travel to conferences, work abroad, and share what we learn.

Our research is not just about the pancreas; it is about how we should approach complex physiological processes. What we do has real-world implications. By understanding the pancreas better, we can pave the way for new treatments and better management of metabolic diseases. This could mean fewer people suffering from the serious consequences of diabetes and a major step forward in public health.

If you're passionate about bridging the gap between biology and artificial intelligence, and have experience in these fields, we encourage you to apply to our current PhD call.


This science is funded by the Wiener Wissenschafts-, Forschungs- und Technologiefonds (WWTF)