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JARA – Jülich Aachen Research Alliance

Focusing Expertise - Shaping the Future
In the Jülich Aachen Research Alliance (JARA), RWTH Aachen University and Forschungszentrum Jülich pool their outstanding expertise in six research sections. These common efforts open up

new research opportunities and facilitate projects that would not be attainable for either of the partners on their own. Furthermore, their attention is always focused on the grand challenges facing society.

JARA | ENERGY

During the "RWTH Transparent" event, Prof. Dirk Uwe Sauer, Director of the JARA section ENERGY, received the teaching award of RWTH Aachen University in the category " Instructor of the Year". Thanks to his innovative and inspiring teaching practices, Sauer is particularly successful in enthusing beginning students and easing their transition to university study. Students praise, for example, his incorporation of digital teaching tools such as explanatory videos as well as online lectures tutorials.

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JARA | BRAIN

Synapses are neural connections that enable the transmission of signals from one nerve cell to another. The human brain is well networked by approximately 100 trillion of these tiny connections. So far, a large part of the knowledge about synapses in the human brain has been based on investigations in animal models; it is questionable to what extent these can actually be transmitted. Now a team around JARA-BRAIN member Prof. Joachim Lübke has published the first quantifiable 3D model of human synapses in the cerebral cortex. The model opens up completely new possibilities and insights.

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JARA | FIT

The human brain is still the most powerful and efficient computer in the world. Multiple processes proceed in parallel and the organ requires only a very small amount of energy. Not surprisingly, modern science wants to transfer the qualities of the brain to novel computer architectures. In the NEUROTEC project, under the umbrella of JARA, scientists from RWTH Aachen University and Forschungszentrum Jülich are working on these so-called neuromorphic computer systems.

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