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Field
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is to detect cognitive strategies in single-trial EEG data. In very broad terms, we will use the HMP method (https://github.com/GWeindel/hmp ) to discover cognitive operations in existing data, label
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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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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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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
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brain stimulation (TMS) and well as experience in biophysical signal processing (in both time and frequency domains) and programming (e.g. MatLab, R). The research position, in conjunction with
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: ● Human-Centered Applications: Familiarity applying ML in areas like healthcare, education, neuro-robotics, and/or assistive technologies. Prior experience in physiological signal processing (e.g., EMG, EEG
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experience in physiological signal processing (e.g., EMG, EEG, ECG) is an advantage. Familiarity with HCI principles and frameworks, in particular, experience conducting usability studies and designing user
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Is the Job related to staff position within a Research Infrastructure? No Offer Description 2-YEAR POSTDOCTORAL POSITION AVAILABLE AT NEUROSPIN/INM (PARIS, FRANCE) https://computationalbrainteam.com/en