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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | about 5 hours ago
processing and will involve EEG and MRI experiments as well as realistic modeling of biological neural networks. It is a cooperation between the TU Berlin, the TU Chemnitz, the Czech Academy of Sciences, and
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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
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. Electroencephalography (EEG) has emerged as a non-invasive and economical alternative technique for studying neurological disorders. However, current approaches rely primarily on single-channel or pairwise connectivity
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Psychopharmacology at the Faculty of Psychology and Neuroscience (FPN), supervised by Dr. Ryszard Auksztulewicz and Prof. Sonja Kotz, in close collaboration with Prof. Andre Marquand at Radboud University. You will
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human cognition In all PhD projects we will use state-of-the art simultaneous TMS-fMRI-EEG measurements to probe the brain with TMS at specific oscillatory states and measure the subsequent network
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working memory PHD 3: The dynamic interplay between brain and bodily rhythms in human cognition In all PhD projects we will use state-of-the art simultaneous TMS-fMRI-EEG measurements to probe the brain
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Application deadline: 30/09/2025 Information about the project: A PhD position is available in the group of Prof. Mathieu Bourguignon at the Université libre de Bruxelles (ULB). The successful candidate will
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involve EEG, eye-tracking, or applied fieldwork, depending on interest and expertise. While this is not a confirmed PhD place, a small number of outstanding candidates will be supported to develop a strong
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addition to these core activities, you will perform bioinformatic analyses using your own data and large public data resources and integrate your findings with clinical data (symptoms, EEG, etc). Finally, you will
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project will involve collecting and analysing EEG, fNIRS and home wearable recordings from babies and children. Experience of advanced data analytics, including if possible experience of coding in Matlab