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Field
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The ultimate objective of this project 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
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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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for advanced statistical and time-series analyses. They will analyse behavioral, EEG and eye-tracking data collected during prolonged experimental sessions. The research will focus on the modelling and
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mouse models. The research will include colony management and genotyping, deployment and evaluation of in vivo gene therapy treatments, EEG and behavioral assessments, histology and molecular studies
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and EEG data collection in pig studies, including experimental preparation, protocol implementation, and data-quality assurance. The position will analyze multimodal MRI, EEG, and related physiological
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humans, the postholder will design and run high-density EEG studies in which participants perform cognitive flexibility tasks to characterise the neural signatures of adaptive decision-making. In parallel
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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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background in neuroscience, neurophysiology, or molecular biology • Experience with EEG recordings, behavioral testing, viral vector delivery, or advanced microscopy Supplemental Qualifications • Ability
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, or a related field. Demonstrated expertise and training in stereoelectroencephalography (SEEG) interpretation for patients with epilepsy. Experience conducting intracranial EEG research within epilepsy
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of infants diagnosed with retinopathy of prematurity. The research involves recording vital signs and conducting electroencephalography (EEG) and electroretinography (ERG) in preterm infants. Working with Dr