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other research staff on ongoing projects. The ideal candidate will build essential research skills (including in cutting-edge research methods like M/EEG, fMRI, behavioral experiments), strengthen
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Stimulation (TMS), Magnetic Resonance Imaging (MRI), Electroencephalography (EEG), and Electromyography (EMG). The role involves the acquisition, processing, and analysis of signal data, the application
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Science, and have completed training on acceptability judgment experiments and EEG and/or MEG. Excellent experimental and syntactic analysis skills are required. Native or near-native like ability in
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independent judgement. Research creativity and cross-discipline collaborative ability as appropriate. Desirable: F1 Expertise in using concurrent TMS and EEG. F2 Some postdoctoral experience, including
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, eye-tracking and EEG data You develop software in Python using common machine learning frameworks (e.g., TensorFlow and PyTorch) You support the development of research prototypes and frontend
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well as autoimmune and hereditary epilepsies. The candidate should be comfortable reading infant, pediatric, and adult EEGs, and take a leadership role in developing the Epilepsy program and establishing a research
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. Experience with one or more of the following techniques: -Electroencephalography (EEG) -Functional Near-Infrared Spectroscopy (fNIRS) -Magnetic Resonance Imaging (MRI/fMRI) -Biosensors (ECG, GSR, HRV
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analyzes research studies using intracranial EEG data from animals. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using
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behaviors, oscillatory mechanisms of motor output, real-time EEG-informed brain stimulation) as well as an independent project designed in collaboration with the Principal Investigator. Most studies in
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, MRI imaging sessions, TMS-EEG, and other research technologies. This role involves frequent interaction with patients with brain injury and their families in inpatient and outpatient settings