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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 1 hour ago
neuropsychologists. Clinical responsibilities include attending on the 10-bed adult Epilepsy Monitoring Unit, reading in- and outpatient EEG studies, neuro ICU continuous EEG studies, and supporting outpatient clinics
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individual will implement, simulate and analyze models of epileptic source localization from EEG signals. Collaborate with clinicians to obtain and analyze imaging, EEG, and outcome data. Prepare results
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of Neurology’s Epilepsy Clinic, attending on the inpatient Epilepsy Monitoring Unit, reading EEG and IOM studies in the EEG laboratory, and taking EEG call. The successful candidate will join a group of six adult
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Duties: The Neurodiagnostic Technologist is responsible for conducting procedures including, but not limited to, electroencephalograms (EEG), nerve conduction studies, (NCS), EMGs and electronystagmograms
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accepted all year round Details Electroencephalogram (EEG) is a non-invasive technique commonly used to measure brain activity. In this project, we aim at using EEG Biofeedback (brain-computer interface (BCI
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/life balance. Connections working at University of Michigan - Ann Arbor More Jobs from This Employer https://main.hercjobs.org/jobs/22000871/eeg-technologist Return to Search Results
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html Required Qualifications Registered EEG Technologist (R. EEG T.) At least
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), positron emission tomography (PET), functional MRI (fMRI), electroencephalography (EEG), behavior, genetics, and proteomics using advanced quantitative modeling techniques and artificial intelligence
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stimulation and recording electrodes. Design, execute, and analyze research studies using intracranial EEG (ECoG, SEEG) data from animals and humans. Perform advanced signal processing and time–frequency
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Electroencephalography (EEG) and magnetic resonance imaging (MRI) can detect early alterations in neural networks that manifest as cognitive and sleep-wake cycle disorders in the early stages of Alzheimer's disease