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

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

Spatial proteomics at single cell type resolution: Technologies and clinical applications

  • Date: May 28, 2026
  • Time: 04:00 PM - 05:00 PM (Local Time Germany)
  • Speaker: Matthias Mann
  • Max Planck Institute of Biochemistry
  • Location: MPI Campus Martinsried
  • Room: Large lecture hall
  • Host: IMPRS-ML

Precision Dermatology in era of OMIC technologies

  • Date: Jun 11, 2026
  • Time: 04:00 PM - 05:00 PM (Local Time Germany)
  • Speaker: Thierry Nordmann
  • Max Planck Institute of Biochemistry
  • Location: MPI Campus Martinsried
  • Room: Large lecture hall
  • Host: IMPRS-ML

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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