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: B53C24009700001. Where to apply Website https://selezionionline.cnr.it/jconon/call-detail?callCode=ISTC%20CR%20002%2020… Requirements Research FieldPsychological sciences » Cognitive scienceEducation LevelPhD
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | 1 day 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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Job Description The Harborview Medical Center – EEG Lab has an outstanding opportunity for an Electroneurodiagnostic Technologist 2. WORK SCHEDULE Full-Time / 40 hours per week Rotating/Variable
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. UI Health is dedicated to the pursuit of health equity. Learn more: https://hospital.uillinois.edu/about-ui-health This position is intended to be eligible for benefits . This includes Health, Dental
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Neurodiagnostics - EEG Full Time 88171BR Job Summary The Neurodiagnostic Technologist (ND Tech), under direction from the Supervisor and according to lab protocols, will participate as an integral
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dyadic interactions and cognitive assessments. This individual will be responsible for aiding in biologics data collection, aiding and administering behavioral assessments, aiding in MRIs and EEGs, and
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Skills/Qualifications The successful candidate should have some prior experience with designing experiments, acquiring and analyzing behavioral / EEG data; a background combining several aspects
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conduct mouse genotyping, stereotaxic microinjections, histology, behavioral assays and scoring of EEG/EMG records. The ability to follow protocols and to conduct in vivo work independently after
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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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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