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Field
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developing representations, using neuroimaging with fMRI and OPM-MEG, and to model the developmental process using computational models from AI. The project aims to better understand infant cognition, develop
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Magdeburg, Sachsen Anhalt | Germany | 12 days ago
, Dortmund, Duisburg-Essen, Magdeburg, and Tübingen, plus partner sites in the Netherlands and Austria. Your tasks will include: Acquiring and analyzing 7T laminar fMRI data using a
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through the EU Research Framework Programme? Other EU programme Reference Number 202-2027_1_144 Is the Job related to staff position within a Research Infrastructure? No Offer Description Analysing fMRI
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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
interacts with the prefrontal cortex to integrate interoceptive signals and guide higher-order cognition. Combining ultra-high-field layer fMRI at 9.4 Tesla, diffusion MRI, and machine learning in humans with
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combine multi-modal neuroimaging and consciousness science with information theory, network science, and whole-brain biophysical modelling. We triangulate fMRI data across humans, macaques, and mice
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on an fMRI-based protocol and the other on an fNIRS-based approach. Both RAs will contribute to the development and implementation of neurofeedback procedures and will work closely together to compare and
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of representation and neural correlates in human infants and adults (fMRI, EEG and/or fNIRS methodologies). We are looking for a highly motivated candidate with: a Master's degree (or equivalent) in Cognitive Science
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Post-Doctoral Position - fMRI - (220000FO) Description: The Center for Advanced Imaging Research (CAIR) in the Department of Radiology & Nuclear Medicine at the University of Maryland School
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NIH-funded research study led by Dr. Meghan Martz in the Department of Psychiatry. Our study will examine whether combining real-time fMRI neurofeedback with smartphone-based practice can help young
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developing representations, using neuroimaging with fMRI and OPM-MEG, and to model the developmental process using computational models from AI. The project aims to better understand infant cognition, develop