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course of study from the catalogue of required and elective courses on offer. Of particular importance are the interdisciplinary nature of the programme and the integration of basic and applied neurosciences, as
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information should be integrated or not. For this purpose, we will use psy-chophysical and neurophysiological methods as well as computational modelling. Tasks in the project include:•Planning and conduction
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learning, image analysis, and advanced computing to study relationships between structure and function. Keywords: Human Brain, 3D Atlas, Deep Learning, Temporal Lobe, Brain Function Entry Requirements
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additional courses offered by other institutions of the University of Freiburg, which may be held in German. Full-time / part-time full-time Programme duration 6 semesters, 8 semesters Beginning Only
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, including pharmacoepidemiological research, computational assessments, network neuroscience, and reverse clinical trials. The project's working hypothesis is that scoping methods can help to improve
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Hardware Nodes (PGI-14), Electronics Materials (PGI-7), the Institute of Neuroscience and Medicine - Computational and Systems Neuroscience (INM-6), The Jülich Supercomputer Center (JSC) and the Faculty
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Max Planck Institute for Medical Research, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 2 months ago
physicists who are interested in working in a world-leading research group. The candidate can apply for admission to the Max Planck School of Photonics or Göttingen Graduate Center for Neurosciences
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environment including researchers at the following institutes: Neuromorphic Hardware Nodes (PGI-14), Electronics Materials (PGI-7), the Institute of Neuroscience and Medicine - Computational and Systems
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), the Institute of Neuroscience and Medicine - Computational and Systems Neuroscience (INM-6), The Jülich Supercomputing Center (JSC) and the Faculty of Electrical Engineering and Information Technology at RWTH
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), the Institute of Neuroscience and Medicine - Computational and Systems Neuroscience (INM-6), The Jülich Supercomputer Center (JSC) and the Faculty of Electrical Engineering and Information Technology at RWTH