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invite applications for an appointment as a PhD student in EEG Foundation Models. The position is funded by the Independent Research Fund Denmark grant titled: “Decoding neural signatures of social
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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
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. The primary goal is to develop explainable spatiotemporal causal discovery frameworks for time-series data such as EEG, leveraging prior knowledge of the driving stimuli. Specifically, the project aims
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electroencephalogram (EEG) and potentially other modalities (e.g., functional near-infrared spectroscopy (fNIRS)) to improve decoding accuracy and user-specific adaptation. Key research areas include: EEG signal