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

Non-neural information processing

  • Date: Jan 15, 2026
  • Time: 04:00 PM - 05:00 PM (Local Time Germany)
  • Speaker: Karen Alim
  • Technische Universität München
  • Location: MPI Campus Martinsried
  • Room: Large lecture hall
  • Host: IMPRS-ML

From DNA Nanotechnology to Biomedical Insight: Towards Single-Molecule Spatial Omics

  • Date: Jan 22, 2026
  • Time: 04:00 PM - 05:00 PM (Local Time Germany)
  • Speaker: Ralf Jungmann
  • Max Planck Institute of Biochemistry
  • Location: MPI Campus Martinsried
  • Room: Large lecture hall
  • Host: IMPRS-ML

The Fluorescence Suite including: Dance of the Proteins, Waltz of HIV and March of the Mitochondria

  • Date: Jan 29, 2026
  • Time: 04:00 PM - 05:00 PM (Local Time Germany)
  • Speaker: Don C. Lamb
  • Ludwig-Maximilians-Universität München
  • Location: MPI Campus Martinsried
  • Room: Large lecture hall
  • Host: IMPRS-ML

Structural biology of translational quality control and stress signaling

  • Date: Mar 5, 2026
  • Time: 04:00 PM - 05:00 PM (Local Time Germany)
  • Speaker: Roland Beckmann
  • Ludwig-Maximilians-Universität München
  • Location: MPI Campus Martinsried
  • Room: Large lecture hall
  • Host: IMPRS-ML
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Program Winter Semester 2025/2026

Hybrid Information

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

Passcode: 371556

Webinar ID: 695 2725 9932

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