IMPRS-ML Lecture

During the winter and summer semester, our graduate school organises the IMPRS-ML Lecture given by our faculty members. The broad scope of the lecture series covers various aspects of biochemistry, structural biology, biophysics, cell biology, systems biology, and computational biology.

To make the lecture series accessible for all, faculty members are encouraged to give broad introductions to their chosen topic. Through these lectures, students have the opportunity to learn about new techniques, cutting-edge research and the latest results from neighboring research groups. The interdisciplinary nature of the lecture series gives students the opportunity to think about their own research in a different light.

Upcoming Lectures

Can yeast count? How to do two divisions in meiosis

  • Date: Nov 13, 2025
  • Time: 04:00 PM - 05:00 PM (Local Time Germany)
  • Speaker: Wolfgang Zachariae
  • Max Planck Institute of Biochemistry
  • Location: MPI Campus Martinsried
  • Room: Large lecture hall
  • Host: IMPRS-ML

Molecular mechanisms that initiate the start of life

  • Date: Nov 20, 2025
  • Time: 04:00 PM - 05:00 PM (Local Time Germany)
  • Speaker: Kikue Tachibana
  • Max Planck Institute of Biochemistry
  • Location: MPI Campus Martinsried
  • Room: Large lecture hall
  • Host: IMPRS-ML

How sugars promote fat production – A human transcriptional receptor for glucose-6-phosphate

  • Date: Nov 27, 2025
  • Time: 04:00 PM - 05:00 PM (Local Time Germany)
  • Speaker: Andreas Ladurner
  • Ludwig-Maximilians-Universität München
  • Location: MPI Campus Martinsried
  • Room: Large lecture hall
  • Host: IMPRS-ML

Molecular mechanisms for maintaining cell fate decisions

  • Date: Dec 4, 2025
  • Time: 04:00 PM - 05:00 PM (Local Time Germany)
  • Speaker: Jürg Müller
  • Max Planck Institute of Biochemistry
  • Location: MPI Campus Martinsried
  • Room: Large lecture hall
  • Host: IMPRS-ML
Show more

Program Winter Semester 2025/2026

Hybrid Information

Webinar link: https://mpi-biochemistry.zoom-x.de/j/69527259932

Passcode: 371556

Webinar ID: 695 2725 9932

Go to Editor View