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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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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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imaging facilities, such as one research-dedicated 3T scanner, MEG/EEG, TEP, TMS/tDCS and other useful resources. For more information, see: https://dreherteam.wixsite.com/neuroeconomics Where to apply
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University of Southern California (USC) | Los Angeles, California | United States | about 2 months ago
. 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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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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, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary The Baker laboratory in the Center for Molecular and Behavioral Neuroscience at Rutgers University-Newark is seeking two
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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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Carl von Ossietzky Universität Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | 3 months 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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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