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

Cryo-electron microscopy and tomography for “in situ” structural biology

  • Date: Mar 19, 2026
  • Time: 04:00 PM - 05:00 PM (Local Time Germany)
  • Speaker: John Briggs
  • Max Planck Institute of Biochemistry
  • Location: MPI Campus Martinsried
  • Room: Large lecture hall
  • Host: IMPRS-ML

Integrative structural biology reveals the dynamic regulation of protein-RNA interactions

  • Date: Mar 26, 2026
  • Time: 04:00 PM - 05:00 PM (Local Time Germany)
  • Speaker: Michael Sattler
  • Technische Universität München
  • Location: MPI Campus Martinsried
  • Room: Large lecture hall
  • Host: IMPRS-ML

Proteomics approaches to understand circadian- and sleep-driven processes

  • Date: Apr 30, 2026
  • Time: 04:00 PM - 05:00 PM (Local Time Germany)
  • Speaker: Maria Robles
  • Ludwig-Maximilians-Universität München
  • Location: MPI Campus Martinsried
  • Room: Large lecture hall
  • Host: IMPRS-ML

Spatial expression profiling in complex tissues – a view on tools and technologies

  • Date: May 21, 2026
  • Time: 04:00 PM - 05:00 PM (Local Time Germany)
  • Speaker: Johanna Klughammer
  • 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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