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Research Center Jülich (FZJ)

Forschungszentrum Jülich (FZJ) is a German national research institution that pursues interdisciplinary research in the fields of energy, information, and bioeconomy. It operates a broad range of research infrastructures like supercomputers, an atmospheric simulation chamber, electron microscopes, a particle accelerator, cleanrooms for nanotechnology, among other things. As a member of the Helmholtz Association with roughly 6,800 employees in ten institutes and 80 subinstitutes, Jülich is one of the largest research institutions in Europe.

Solar Tower and Research Center Jülich seen from the air
Arieal view of FZJ (Original photo by Achim Christoph)

FZJ collaborates with RWTH Aachen within JARA-BRAIN, one of five divisions of the Jülich Aachen Research Alliance (JARA). In JARA-BRAIN, researchers of RWTH and FZJ have joined forces to work on improving the diagnosis and treatment of mental and neurological disorders. JARA-BRAIN is dedicated to improving the translational aspect of neuropsychiatric research.

Contributors


Ute Habel

Professor Ute Habel is a distinguished academic at RWTH Aachen University, renowned for her expertise in neuropsychology. Her research delves into the neural mechanisms of emotions, cognition, and psychiatric disorders, utilizing advanced neuroimaging techniques such as fMRI. With a prolific output of publications, she significantly contributes to the understanding of brain function in both health and disease. As a dedicated educator, she mentors students and fosters interdisciplinary collaborations, making substantial impacts on both academic research and clinical practices in neuropsychology and psychiatry.

Kerstin Konrad

Kerstin Konrad is affiliated with the RWTH Aachen University and Forschungszentrum Jülich, where she specializes in developmental psychology and neuroscience. Her research primarily focuses on the cognitive and neural mechanisms underlying attention and executive functions in children and adolescents. Through her work, Konrad aims to better understand developmental disorders such as ADHD, contributing valuable insights to the field of child psychology and cognitive development.

Projects


Q02: Data management for computational modelling

Data management and training platform. A decentralized data management infrastructure will help focus on developmental and therapeutic longitudinal data, training all participating researchers in the necessary skills for future use. This strategy will lay the foundations for further data-driven computational modelling projects in the next funding period.

This is a distributed project, with representatives at all main TRR379 sites.