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Sleep Neuroimaging Postbaccalaureate Fellow

Office of Intramural Training & Education

Organization Advanced MRI Section, Bethesda, MD and surrounding area Scientific focus area Neuroscience,Clinical Research About the position The Advanced MRI Section (AMRI) in the Intramural Research Program of the National Institute of Neurological Disorders and Stroke at the National Institutes of Health (NIH) in Bethesda, Maryland is seeking a postbaccalaureate fellow to assist with two projects: an all-night EEG-FMRI sleep study in healthy controls and an EEG-FMRI-CPAP nap study in patients with epilepsy. Tasks and priorities will vary depending on the phase of the studies and amendments that are made to their protocols and will include data collection and analysis. With time (4 months or longer), the fellow may be invited to develop an independent data analysis project. The start date is flexible but will likely be summer 2027. As part of the NIH Intramural Research Program, AMRI has access to unique imaging and computational resources, including four 3 T and three 7 T human MRI scanners, EEG and MEG systems, and a large (currently 96,952-core) computational cluster. AMRI has a dedicated group of researchers with expertise in state-of-the-art MRI techniques, data analysis tools, MRI physics, and sleep neuroscience. It is encouraged to include contact information for three references from mentors and/or colleagues. For more information on the NIH Intramural Research Training Award, read more on the Postbac page . Please note that you must be willing and able to work night shifts and in the MRI environment. You cannot perform these essential functions if you ever had a seizure; if you ever had a psychotic, depressive, or bipolar disorder; or if you have a serious contraindication for MRI. This will be verified with a physical. Received a bachelor's degree within three years or received a master's degree within six months of the start date Willingness and ability to work night shifts Willingness and ability to work in the MRI environment Preferred Qualifications: Statistics coursework and experience Scientific computer programming coursework and experience #J-18808-Ljbffr Office of Intramural Training & Education

Vacancy posted 2 days ago
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