Teaching

Much like in our research, we are committed to interdisciplinarity in teaching providing courses and training at the interface between biology, chemistry and data science. Our offer is available to students from different schools (SB, SV etc.) and on different levels (BSc, MSc, PhD). In case of questions, do not hesitate to contact us.


Chemical Biology is an interdisciplinary field using chemical principles and techniques to analyse and manipulate biological systems. It relies on small-molecule chemicals to gain an in-depth understanding of biology, and provides new tools and products ranging from basic research to therapeutics.

This class revolves around the following central question:
“How can we use chemical tools to probe and manipulate biology on all levels of the central dogma of molecular biology (i.e. DNA, RNA and protein)?”


  • Lecture in Synthetic and Applied Microbiology (MSc-/PhD-level)

Coming up…


  • Internships and thesis works (BSc-/MSc-level)

We are always looking for enthusiastic students to join our research efforts in the form of internships or to carry out their thesis work in our team. Note that wet- and dry-lab as well as mixed projects are possible depending on your previous experience and interest. Please make sure to inquire in due time (i.e. 3-6 months before the desired start date) by contacting Markus Jeschek.


Together with other leading European teams in Synthetic Biology, we are co-organizing a practical course in Synthetic Biology on a biannual basis (next edition in summer 2026).

The course equips students with hands-on experience in cutting-edge SynBio tools supported by lectures from renowned international experts in the field discussing different aspects of the engineering cycle and how tools are converging towards a better understanding of biology. The program involves a mix of wet-lab and dry-lab parts including multiplexed genome and plasmid engineering in bacteria, RNA tools for system-wide control in mammalian cells and AI-based modeling approaches to predict and design the behavior of synthetic biosystems.