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behavior. CAHBIR (https://sites.rutgers.edu/cahbir/ ) is a state-of-the-art brain imaging facility featuring a research-dedicated 3T Prisma MRI scanner, an EEG/TMS suite, high-speed access to high
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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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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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structures) and the incidental learning of new patterns. To this end, we employ a range of methods, with a focus on behavioral experiments and electroencephalography (EEG). What are your tasks? At least 70% of
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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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clubs. (5%) Mentor undergraduate students on research projects. (5%) Participate in career training/development programs. (5%) Qualifications Required Qualifications: PhD degree in Rehabilitation Science
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sessions. 56 other participants participated in one pupillometry session and one 3T fMRI session. We also plan to record a dataset on our 11.7T MRI, and we have started to collect intracranial EEG data
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Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS) | Leipzig, Sachsen | Germany | 3 months ago
are looking for outstanding early-career scientists who bring fresh ideas, deep curiosity, and a collaborative mindset. You should have: A PhD in cognitive neuroscience, psychology, biology, computer
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experience in physiological signal processing (e.g., EMG, EEG, ECG) is an advantage. Familiarity with HCI principles and frameworks, in particular, experience conducting usability studies and designing user
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: ● Human-Centered Applications: Familiarity applying ML in areas like healthcare, education, neuro-robotics, and/or assistive technologies. Prior experience in physiological signal processing (e.g., EMG, EEG