In total, the DFG now funds 206 Research Training Groups, including 45 International Research Training Groups.
The new Research Training Groups are as follows (in alphabetical order by coordinating university):
The aim of RTG 1675 "Teilchen- und Astroteilchenphysik im Lichte von LHC" ["Particles and Astro-Particle Physics in the Light of the LHC"] is to explore the limits of the standard particle physics model. In order to do this, the RTG's members will use data collected by the Large Hadron Collider, which was put into operation in March 2010. This data promises to yield considerable new insights over the next few years. The Research Training Group will use complementary theoretical and experimental physical approaches to examine both this data and data from other experiments conducted within the fields of particle and astro-particle physics. In doing so, they will make significant contributions to such research topics as the origin of mass in elemental particles, the nature of dark matter, and the cause of asymmetry of matter and antimatter in the universe.
(Coordinating University: Aachen University of Technology. Coordinator: Professor Dr. Stefan Schael)
The first German-Brazilian Research Training Group brings together physicists, mathematicians, biologists, climatologists and geographers from both countries to study networks with complex topology. This information can be used to facilitate a greater understanding of complex systems in many scientific disciplines. Unlike most other studies, however, IRTG 1740 does not plan to examine fixed, unchanging topologies. Instead as the Group's name indicates it will focus on "Dynamic Phenomena in Complex Networks". One of its main goals is to improve our understanding of the earth's subsystems under changing conditions, whereby specific influences, like global warming and land use change in the Amazon region, will be explored.
(Coordinating University: Humbol
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| Contact: Marco Finetti marco.finetti@dfg.de 49-228-885-2230 Deutsche Forschungsgemeinschaft Source:Eurekalert |