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the effectiveness of an audio/visual online coaching programme that leverages digital health technologies as part of a novel intervention that can be easily accessed by a wide audience. This will be compared with
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the ageing-mediated remodelling driven by alpha-synuclein. This ageing-dependant cardiac remodelling may lead to electrophysiological alterations of the heart and ultimately impact the brain. With a focus on
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student passionate about developing novel therapeutics for brain diseases such as stroke and Alzheimer’s disease. The project focuses on understanding how the brain vasculature—particularly the blood-brain
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the genetic factors influencing changes in brain structures, using brain imaging, computational and statistical methods of network science. Project Aim: The aim of the project is to uncover the complex
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for: computers able to process information more like the brain, studying how to reproduce some of the properties of biological neurons and synapses using networks of molecules and nanostructures, and other
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: Three Casual Research Assistant 2 positions are open at the Montreal Brain Imaging Centre of the Neurological Institute. The candidates will develop pipelines for classification of patients and healthy
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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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temporarily, as needed, when needed. The goal of this project is to advance the understanding of how working memory is implemented in the human brain. To this end, the main objective is to develop a neural
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-brain axis, and identify immune-mediated drivers of brain dysfunction. Position The Computational Neurobiology group (Dr. Valeriya Malysheva), Gut-Immune-Brain Axis Lab (Dr. Seppe De Schepper
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-brain axis, and identify immune-mediated drivers of brain dysfunction. Position The Computational Neurobiology group (Dr. Valeriya Malysheva), Gut-Immune-Brain Axis Lab (Dr. Seppe De Schepper