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psychosis. Key topics may include conceptual development of methods to link multilevel data including EEG recordings as well as symptom-, functioning-, and personal recovery indicators. Study how
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these advancements to disentangle and model behaviourally-relevant visual and semantic dimensions of visual cognition in the human brain, while increasing the ecological validity of experiments (including mobile EEG
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Hormone Replacement Therapy trial. Brain activity related to cognitive and emotional processing will be measured using electroencephalography (EEG) and event-related potentials (ERPs) in social and non
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, cognition, and gut microbiota in (peri)menopausal women through a longitudinal study. This study combines electroencephalography (EEG), psychometric, and psychological assessments to analyze resting-state
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months ago
1801P.01460.1.06 LARSYS/ISR BASE 2025-2029 - LASEEB LAB/ISR, financed by national funds through FCT/MCTES (PIDDAC Workplan: The scholarship holder will acquire simultaneous EEG/fMRI imaging from healthy
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Universidade Lusófona´s Research Center for Digital Human-Environment Interaction Lab | Portugal | about 2 months ago
systems that simulate and model human behaviour in immersive environments. Integrate psychophysiological data (e.g., EEG, EDA, EMG) into interactive digital applications for experimental and clinical use
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to conduct high-quality behavioral research, including sound-insulated cubicles, group labs, video labs, and facilities for eye tracking, EEG/ERP, facial coding, and hormone-administration studies. High
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cubicles, group labs, video labs, and facilities for eye tracking, EEG/ERP, facial coding, and hormone-administration studies. High-performance computing is available to researchers via SURFSara (a Dutch
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diagnosed too late, delaying intervention until after critical neuroplastic windows have passed. Recent guidelines have outlined reliable tools for early CP detection, combining brain MRI, EEG, and clinical
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causal discovery frameworks for time-series data such as EEG, leveraging prior knowledge of the driving stimuli. Specifically, the project aims to determine which features of the acoustic input elicit