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. Project details In this project we aim to develop graph deep learning methods that model spatial-temporal brain dynamics for accurate and interpretable detection of neurodegenerative diseases
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continuously since we have been producing it. Our brains work by generating and testing predictions – but younger brains, which are messy and inefficient, are presumably less good at ‘keeping up’ with fast-paced
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– i.e., the light, volume and pitch changes from which we extract meaning – has increased continuously since we have been producing it. Our brains work by generating and testing predictions – but younger
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which we extract meaning – has increased continuously since we have been producing it. Our brains work by generating and testing predictions – but younger brains, which are messy and inefficient
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& Integrative Neuroscience (Lab CLINT) aims to advance fundamental knowledge of human brain function and to use this knowledge to help people with psychiatric and neurological disorders. Our research integrates
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Junior Research Group “ Probabilistic Methods for Dynamic Communication Networks“ (Head: Prof. Dr. B. Jahnel) starting as soon as possible. The position is within the Math+ project "Information Flow
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of new EEG and MEG neuroimaging and mc-tCS simulation approaches based on realistic head volume conductor models using modern finite element methods as well as sensitivity analysis. The new methods will be
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at the Renewable Energy Systems group at the University of Geneva (Prof. Evelina Trutnevyte), pending formal approval. The ideal starting date is October 2025, or upon mutual agreement. We live a culture of
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the Leibniz Junior Research Group “ Probabilistic Methods for Dynamic Communication Networks“ (Head: Prof. Dr. B. Jahnel) starting as soon as possible. The position is within the Math+ project "Information Flow
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Department: Center for Molecular Neurology Regime Full-time Let’s shape the future – University of Antwerp The Gut-Immune-Brain Axis Lab (Prof. Seppe De Schepper, VIB-UAntwerp) and the Brain and