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. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using MATLAB, Python, or similar platforms. Leads manuscript preparation
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are in compliance with the necessary trainings (both at the lab and at the institutional level). Minimum Education and Experience: A PhD degree in Computer Science, Electrical/Computer Engineering, or a
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stimulation and recording electrodes. Design, execute, and analyze research studies using intracranial EEG data from animals. Perform advanced signal processing and time–frequency analyses of neural recordings
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advanced signal processing and time–frequency analyses of neural recordings. Develop and implement computational pipelines using MATLAB, Python, or similar platforms. Lead manuscript preparation for peer
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Science, Electrical/Computer Engineering, or a related field by the start date, with a strong publication record in computer vision, multimodal learning, or vision–language models. We require hands-on expertise with
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stimulation and recording electrodes. Design, execute, and analyze research studies using intracranial EEG (ECoG, SEEG) data from animals and humans. Perform advanced signal processing and time–frequency
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analysis, fNIRS/EEG, wearable sensors, or signal processing. Proficiency in programming languages such as Python, MATLAB, or Java/Kotlin (for Android). Certifications/Licenses Required Knowledge, Skills, and
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analysis, fNIRS/EEG, wearable sensors, or signal processing. Proficiency in programming languages such as Python, MATLAB, or Java/Kotlin (for Android). Certifications/Licenses Required Knowledge, Skills, and