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facilities, including 3T and 7T MRI, MEG, and PET. The program also features advanced high-density EEG, MRI-compatible EEG, and neuromodulation technologies, providing a unique platform for both clinical and
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RCSI 118 St Stephen’s Green Contract/Duration: Specific Purpose (up to 12months) - Full time Remuneration: Up to point 2 of the Post Doctoral researcher scale, depending on experience Closing Date: 9:00
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. Duties/Responsibilities: 1. Data Management, Review, & Analysis (70%) Advanced Neural Signal Processing: Apply quantitative analysis, signal processing, and machine learning methods to high-dimensional EEG
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modality-specific encoders, cross-modal fusion, acquisition-aware conditioning, and prediction heads. Develops and applies self-supervised training objectives (e.g., masked signal modeling, cross-modal
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(including Python, MATLAB or/and R) •Experience with neuroimaging (e.g MRI and EEG) and signal processing (e.g. wearable sensors) is valuable, but is not a prerequisite.•Strong analytical and problem-solving
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intracranial EEG data from animals. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using MATLAB, Python, or similar
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, administrative support, and several affiliated international researchers. LCBC has excellent research infrastructure, including access to a 3T Siemens Prisma MRI scanner, PET and EEG facilities, and comprehensive
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opportunities Additional benefits information is available at https://benefits.utah.edu/. Responsibilities Essential Functions Participate in the growing telehealth neurology service, providing remote
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opportunities Additional benefits information is available at https://benefits.utah.edu/. Responsibilities Essential Functions Participate in the growing telehealth neurology service, providing remote
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with neuroimaging and neural signal processing tools, including fMRI, structural MRI, diffusion MRI, EEG, or related modalities. Strong publication record in AI, machine learning, computational