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Field
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that allows for the decoding of the continuous EEG signal into a sequence of cognitive event labels, and (3) apply this to data of expertise development. The intended duration of the project is 2 years
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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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data collection in pig studies in collaboration with investigators, veterinary personnel, imaging staff, and other research team members. Develop and apply methods for processing and analyzing MRI, EEG
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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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neurophysiological signal processing techniques. Experience with quantitative EEG analysis methodologies. Strong publication record or evidence of scientific productivity through manuscripts, abstracts
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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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, EEG, NIRS, MRI, or other neurophysiological and neuroimaging technologies. Experience with signal processing, machine learning, statistical modeling, and multimodal data integration. Strong scientific
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Demonstrated ability to independently design, implement, and manage complex human-subject research studies. Strong quantitative data analysis, signal processing, and computational modeling skills, with hands
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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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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