- Home
- About the Network
- About Microwine
- Consortium beneficiaries/partners
- Århus University
- University of Copenhagen
- University of Warwick
- National University of La Plata
- University of Bordeaux
- Technical University of Denmark
- DLR-Rheinpfalz
- University of Zaragoza
- Institut National de la Recherche Agronomique (INRA)
- Catholic University of Portugal
- University of Lisbon
- VU University Amsterdam
- Institut National de Recherche en Informatique et Automatique (INRIA)
- Projects
- Outreach
- Contact
Project quick links
User login
VU University Amsterdam
The VU University in Amsterdam (NL) was founded in 1880 and has 24,517 students and 2,764 scientific staff members. Amsterdam has two universities: the VU University and the University of Amsterdam (UvA). The life sciences faculties of both universities have strong collaborations on biophysics, microbiology, cell biology, and systems biology and bioinformatics. In two years time, the majority of the life sciences research groups will be housed in one new building dedicated to life sciences research. The VU University has always actively promoted interdisciplinary research between mathematics, physics, and biology to cross borders between departments, faculties, and disciplines.
The VU University also offers bachelor and master teaching in the life sciences with a strong emphasis on the interdisciplinarity of modern biology, with a strong focus on bioinformatics, systems biology, imaging, next-generation sequencing technologies (and omics) and medical applications. There is a joined Master programme in bioinformatics and Systems Biology. In the Times Higher Education World University (THE) Rankings 2012-2013, VU University Amsterdam is placed 140th.
Role and key persons:
ESR14 will be hosted and principally supervised by Professor Bas Teusink (10%). Daily supervision will be given by Dr. Brett Olivier (10%), and by Dr. Douwe Molenaar (5%).
Research facilities, infrastructure and equipment:
The group has fermentation infrastructure and access to extracellular and extracellular metabolomics, as well as state-of-the-art fluorescence microscopy. Other infrastructure includes software for genome-scale metabolic modeling and data visualisation.
Weight:
12