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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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. 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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• 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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. 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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lead analyses of large-scale datasets, applying advanced computational and statistical methods to integrate multimodal data (including MRI, MEG, EEG, and genomic data). The postholder will work with a
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EEG/ERP and/or fMRI - Programming skills (e.g., Python, Matlab) - Advanced knowledge of statistical analysis (e.g., mixed models in R) Desired skills: - Specialization in one or more research fields
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purposes. The Erasmus Behavioural Lab offers outstanding facilities, including video observation, EEG, eye-tracking, virtual reality, experience sampling, and biofeedback: https://www.eur.nl/essb/informatie
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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
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), transcranial magnetic stimulation (TMS), and human electrophysiology (EEG) data acquisition and analysis using standard and advanced techniques. Keeps records of work performed and maintains a database as