Reproducible Research with R
In gene and cell therapy research, R has become an indispensable tool for robust statistical analysis, reproducible data processing, and advanced visualization of complex biological datasets.
In gene and cell therapy research, R has become an indispensable tool for robust statistical analysis, reproducible data processing, and advanced visualization of complex biological datasets.
In this week several workshops and seminars are offered themed around methods reproducibility. (In English)
An event as part of the QUEST Seminar on Responsible Research. Speaker: Cassie Short (In English)
What will medicine look like in the future? This question will be addressed at the kick-off event for Science Year 2026 – Medicine of the Future. The Federal Ministry of Research, Technology, and Space cordially invites all interested citizens to learn more about the medicine of the future.
Want to stay uptodate on innovations in healthcare? At this year's #DACHHIS, Bamberg Health is once again bringing together key players from the healthcare sector to discuss the optimization of healthcare systems in Europe - among them Sylvia Thun & Thomas Gazlig from the BIH.
ELNs offer a number of advantages over traditional paper lab books. But what are these advantages and how can you as an individual or even a whole group use the ELN in a meaningful way? These and all other questions about the ELN will be answered in this course. (In English)
In this lecture, Bettina Otto, Charité, provides insights into current national funding opportunities in Germany for innovative life science research and translational development.
Exciting insights, clear words, new perspectives: a high-profile panel discussion at the Goethe Institute in Lyon on obstacles, and inequalities in academia, ways in which women* can find their place in science, and how we can get more of them excited about it.
Visiting the BIH - In his talk at the Rahel Hirsch Center, Ganna will explain how health risks can be predicted using health registries, genetic data, and artificial intelligence. Learn how these approaches enable precision prevention and more equitable health research.



