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Field
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times, eye fixations) and EEG data. The computational strand simulates behavioural and neural data related to processing and memory retrieval. As a postdoctoral researcher, you will be part of
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areas like healthcare, education, neuro-robotics, and/or assistive technologies. Prior experience in physiological signal processing (e.g., EMG, EEG, ECG) is an advantage. Familiarity with HCI principles
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, specifically leveraging magnetic resonance imaging (MRI), positron emission tomography (PET), functional MRI (fMRI), electroencephalography (EEG), behavior, genetics, and proteomics using advanced quantitative
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with cutting-edge tools such as eye-tracking, facial expression analysis, electroencephalography (EEG), and galvanic skin response (GSR), enabling incentivized experiments to explore human decision
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; expertise with TBI, Epilepsy, Alzheimer's, or Parkinson's models; EEG recordings and behavioral phenotyping of rodents; tissue-culture based assay systems; drug discovery approaches; and epigenetic analyses
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transcranial magnetic stimulation (TMS) towards the development of TUS protocols for modulating subcortical targets in humans. The goal is to leverage ’lessons learned’ from TMS/TMS-EEG/fMRI research such as
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empirical strand 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
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), positron emission tomography (PET), functional MRI (fMRI), electroencephalography (EEG), behavior, genetics, and proteomics using advanced quantitative modeling techniques and artificial intelligence
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. Employ advanced neuroscience techniques, which may include: o Fiber photometry for real-time neural activity monitoring. o Chemogenetics for circuit manipulation. o EEG/EMG recording and sleep-state
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perception with a comparative, cross-species (animal – human) component. The selected candidate will establish a non-human primate (NHP) model of scalp EEG signals related to perception, compare it to human