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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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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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• 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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multimodal data (including MRI, MEG, EEG, and genomic data). The postholder will work with a team with a strong track record in Big Data analytics in child mental health, helping accelerate the move toward
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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
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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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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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Carl von Ossietzky Universität Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | 21 days ago
develop and refine novel mobile neurotechnology, such as ear-centered EEG (ear-EEG) and the nEEGlace (an EEG necklace), which enable us to record brain activity during daily activities. Our research has a
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develops and analyses behavioural experiments (reaction times, eye fixations) and EEG data. The computational strand simulates behavioural and neural data related to processing and memory retrieval. As a