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researcher with strong experience in neurophysiological signal processing, data analysis, and cognitive neuroscience to join our team at INAB (Institute of Advanced Neuroscience of Barcelona). The position
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preclinical models and retrospective human MTLE datasets. Apply complex signal-processing approaches to analyze animal and human intracranial EEG. Develop and implement computational network analyses
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Requirements Neural data recording and analysis. Signal processing. Optimization and support for signal acquisition in laboratory experiments. Documenting, reporting and presenting results to the research team
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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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dynamically restricting, routing, and stabilizing trajectories through neural state space. We are interested in whether relatively low-dimensional inhibitory or feedback control signals can reorganize high
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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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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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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