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Field
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, directed by Dr Virginia Carter Leno, uses a range of methodologies, including EEG and novel integrated neuroimaging-virtual reality (VR) technology, to understand: 1) the neurocognitive drivers of individual
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• Implement and lead fMRI and EEG neurofeedback protocols during the test and research phases of the project. • Ensure recruitment, monitoring, and testing of participants (healthy volunteers and ADHD patients
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neurological injury. Projects may include developing and testing novel brain-computer interface (BCI) systems, conducting neuroimaging analyses (MRI, EEG, fNIRS), and designing experimental and clinical studies
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candidate will perform the collection of electroencephalogram (EEG), electromyography (EMG), behavioural and eye tracking data, and neuropsychological assessment data and will receive in depth training in
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. Projects may include developing and testing novel brain-computer interface (BCI) systems, conducting neuroimaging analyses (MRI, EEG, fNIRS), and designing experimental and clinical studies to improve
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will take a leading role in analysing dyadic EEG, fNIRS, and physiological data from parent–child interactions and children’s screen use, working closely with the Principal Investigator and a small
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et al., 2025 ), mismatch negativity (MMN) to unveil the emergence of prototypic phonetic categories, and frequency-tagging analysis of EEG to probe the ability to detect non-adjacent dependencies in
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. Projects may include developing and testing novel brain-computer interface (BCI) systems, conducting neuroimaging analyses (MRI, EEG, fNIRS), and designing experimental and clinical studies to improve
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• Develop, consolidate, and optimize fMRI and EEG neurofeedback algorithms. • Design, integrate, and test standalone neurofeedback software (software suites for clinical environments). • Contribute
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Medical Center Utrecht (UMCU), Altrecht GGZ, and Avans Hogeschool. The project aims to explore how normative modeling and EEG-based brain monitoring can support early detection and personalized treatment