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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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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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(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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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
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temporal resolution, no directional information, and limitation to pairwise comparisons. Some of these constraints can be overcome with the analysis of M/EEG signals, which can provide the information
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experience in EEG signal analysis, with applications in cognitive sciences and psychopathology, • Minimum 1-3 scientific publications as author or co-author, • Experience in using data analysis, machine
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(i.e. understanding where in the brain signals are generated). Develop sophisticated and robust hardware methods to suppress external interference contributions from our OPM-MEG signals. Propose novel