MPI-CBG - Max Planck Institute of Molecular Cell Biology and Genetics

MPI-CBG - Max Planck Institute of Molecular Cell Biology and Genetics

Forschungsdienstleistungen

Our research spans multiple scales of magnitude, from molecules to organelles, cells, tissues, organs, & organisms.

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The Max Planck Institute of Molecular Cell Biology and Genetics (MPI-CBG) in Dresden, founded in 1998, is one of over 80 institutes of the Max Planck Society, Germany's most successful research organization. We do pioneering work in the field of basic research: over 500 curiosity-driven scientists representing 50 nationalities work at the MPI-CBG and ask: How do cells form tissues? We research the molecular principles underlying morphogenesis, such as regulation of size and shape, and how the morphology of cells and tissues emerges from the interactions between individual molecules and cells. Our research programs span multiple scales of magnitude, from molecular assemblies, to organelles, cells, tissues, organs and organisms. Ultimately, our goal is to take a multi-scale approach to link tissue-level organizational principles to molecular activity. The MPI-CBG invests extensively in Services and Facilities to allow research scientists shared access to sophisticated and expensive technologies. The Institute also develops new technologies necessary to realize the research mission. The MPI-CBG hosts the International Max Planck Research School for Cell, Developmental, and Systems Biology (IMPRS-CellDevoSys) in collaboration with the Technische Universität Dresden (TUD). It is a structured 4-year PhD Program which trains young talents in the life sciences who are passionate about truly cross-disciplinary research, integrating Biology, Physics, Chemistry and Computer Science. Impressum: https://www.mpi-cbg.de/impressum/

Website
https://www.mpi-cbg.de/impressum/
Branche
Forschungsdienstleistungen
Größe
501–1.000 Beschäftigte
Hauptsitz
Dresden
Art
Nonprofit
Gegründet
1998
Spezialgebiete
Cell Biology, Developmental Biology, Biophysics und Computational Biology

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