Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Munich
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- GFZ Helmholtz-Zentrum für Geoforschung
- Justus Liebig University Giessen •
- Max Planck Institute of Biochemistry •
- Technical University of Munich (TUM)
- Technische Universität München
- University of Tübingen
-
Field
-
of geosciences. As part of the Helmholtz Association, Germany's largest research organisation, we address global challenges such as natural hazards, climate change and the sustainable use of resources. In doing so
-
democratic legitimacy? Together, the projects will develop comparative evidence, practical methods and guidance for adaptive regulation. A shared observatory will bring together signals, research methods and
-
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Sylt Ost, Schleswig Holstein | Germany | 6 days ago
environment with access to globally unique infrastructure, comprehensive datasets, and international expeditions Opportunity to develop and pursue independent scientific ideas and innovative research
-
software • Team player with the ability to work independently Your project: • Develop and optimize co-culture lung models at the ALI (cell lines, primary cells, primary tissue). • Exposure of cells
-
wall-clock time on available hardware. Thirdly, the quest of generality, namely the ability to simulate a variety of flows within a single software package has been a target in the development
-
to a dissertation with a flexible curriculum consisting of scientific training and a doctoral development programme designed to improve your professional skills. In order to promote an international
-
expertise in biochemistry, structural biology, biophysics, cell biology, systems biology and computational biology to train highly talented doctoral researchers for successful international careers. Research
-
of molecular and biological matter using X-ray and neutron scattering. One of the research areas is the development of machine learning (ML) based approaches to efficient analysis of the vast data amounts
-
this Center: (1) develop a new set of consistent scientific methods for mobility planning and management, (2) integrate a new set of modular metrics for responsible mobility, (3) embed the planning methods