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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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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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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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modalities, spatial scales, and diverse populations. Position Highlights Work with cutting-edge multimodal concurrent stimulation-recording datasets spanning iES, TMS, iEEG, single-unit, and fMRI. Study causal
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injury in eating disorders (EDs) by examining neurocognitive mechanisms through fMRI, psychometric assessment, and qualitative interviews. It aims to identify distinct brain activation patterns linked
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to investigate the neural mechanisms underlying the potential therapeutic effects of music. The PhD candidate will be responsible for coordinating and conducting MRI/fMRI sessions with participants enrolled in
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in auditory neuroscience, neuroimaging, and AI/NeuroAI. In this role you will bridge human neuroimaging and computational modelling . You will collect and analyse neuroimaging data (7 Tesla fMRI
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. Responsibilities 1. Preferable experience in examining neurophysiology (electromyography, non-invasive brain stimulation, spinal reflexes), neuroimaging (DTI, fMRI), and motor control (kinematics, kinetics) 2
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like to contribute to an ambitious research project combining behavioural studies, fMRI and computational modelling? If so, then we invite you to apply for this PhD position in the Cognitive Neuroscience
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motor skills. This PhD project will investigate the emergence of body representations from infancy to childhood by combining functional magnetic resonance imaging (fMRI), electroencephalography (EEG), and