POSTDOCTORAL FELLOWSHIP at the University of Nebraska Medical Center
A full-time Postdoctoral Fellow position is available in the Department of Neurological Sciences at the University of Nebraska Medical Center (UNMC) in Omaha, Nebraska, USA. This fellow will be part of a new lab under the supervision of Dr. Gaelle E. Doucet, Associate Professor, and will contribute to our work in cognitive neuroscience related to aging and development. The focus of the lab is on understanding the age-based changes in brain functional architecture and cognitive decline. Current projects include the use of multi-modal approaches, combining resting-state, task-based functional MRI as well as structural MRI and MEG imaging. This work is part of a larger project funded by the National Institutes of Health (NIH) and includes a close collaboration with other researchers from the department including Dr. Tony Wilson. The University of Nebraska Medical Center (UNMC) is a vibrant research environment with major resources and ample opportunities for training and trans-disciplinary collaboration. Resources include a 306-sensor MEG system, research-dedicated 3T Siemens Prisma magnet, multiple other 3T human MRI scanners, high-definition transcranial direct-current and alternating-current stimulation (HD-tDCS/tACS) equipment, eye-tracking equipment, and a state-of-the-art transcranial magnetic stimulation (TMS) suite. UNMC is located in Omaha, a metro area with a population of approximately one million, with major attractions and events.
Qualifications/Requirements: Successful applicants should be highly motivated, curious and willing to learn new imaging techniques. They will have completed a Ph.D. or M.D./Ph.D. (post residency) in cognitive neuroscience, psychology, or a related discipline. Qualified applicants must have a solid foundation in conducting resting-state and/or task-based fMRI studies. We are looking for candidates with strong technical skills, including competence in task implementation, pre-processing, and analyzing fMRI data (task-related and resting-state functional connectivity). Experience working with clinical populations, coding ability in relevant analysis software (SPM, eprime, Matlab, and UNIX/Linux environments), and computational modeling expertise are preferred. Interested applicants should submit a curriculum vitae, a letter detailing current research interests and contact information for three individuals who can provide letters of recommendation to Dr. Gaelle Doucet ([log in to unmask]). Individuals from diverse backgrounds are especially encouraged to apply.
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