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months. Job Description Primary Duties & Responsibilities: For more information on the lab, please visit: https://sites.wustl.edu/foutzlab/ . Working Conditions: This position works in a laboratory
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-language pathology. Where to apply Website https://www.academictransfer.com/en/jobs/357987/postdoc-position-neurobiology-o… Requirements Specific Requirements We are looking for an enthusiastic and
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equipment used for patient care and monitoring that is related to anesthesia. Equipment includes blood pressure monitors, EKG's/EEG's, and clinical analyzers. • Obtain blood samples and provide blood
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, neuromodulation, data analysis to address complex scientific questions. ●Develop, maintain, and optimize analysis pipelines for electrophysiological data (e.g., ERP, EEG, LFP). ●Perform preprocessing, artifact
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ancillary services including neuropsychology, EMG, EEG and MEG, APP’s, dietitians, & nurse case managers Opportunity to participate in clinical research, outreach activities, telemedicine, inpatient care
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Registered with either the HCPC or AHCS. Desirable: B1 Knowledge of the classification of epileptic seizures and knowledge of paediatric EEG. Skills Essential: C1 Project or subject specific skills which
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 15 hours ago
training, interdisciplinary collaboration, and methodological breadth. The interdisciplinary Health Psychology Program (http://healthpsych.charlotte.edu ) includes faculty from the departments
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development, including fNIRS, EEG, eye-tracking, and LENA, among others. The ILC group is led by Dr. Marina Kalashnikova (https://www.bcbl.eu/es/conocenos/equipo/marina-kalashnikova ), an Ikerbasque Research
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and memory, decision-making processes, etc., with translational implications. The person should bring expertise in non-invasive neurophysiological methods (fMRI, EEG, MEG, fNIRS, tDCS, TMS, cTBS, etc
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) mechanisms are engaged by different antidepressant treatments. You will co-lead the imaging component of the project, focusing on electroencephalography (EEG) combined with advanced computational modelling