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TENURE-TRACK FACULTY POSITION IN NEUROSCIENCE

Employer
The University of Texas Health Science Center at Houston
Location
Houston, Texas
Salary
Commensurate with experience
Closing date
Dec 7, 2020

Job Details

TENURE-TRACK FACULTY POSITION IN NEUROSCIENCE

The Department of Neurobiology and Anatomy at McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth) invites applications for a tenure-track faculty appointment in the area of neurodegenerative diseases. We seek applications from candidates who explore molecular, cellular, immunological and/or circuit mechanisms underlying progressive neurodegeneration and dementia. Applications at a junior or a senior level will be considered, with rank dependent on experience and qualifications. We are located within the Texas Medical Center and its very rich and collaborative neuroscience community including The University of Texas MD Anderson Cancer Center, Baylor College of Medicine, Rice University and the University of Houston.

The appointed individual will be expected to develop a strong, independent research program and contribute to our departmental teaching mission. Interested applicants should submit electronically their curriculum vitae, a statement of their research and teaching interests, and the names of three references through our online application system at http://p.rfer.us/UTHHVl8q6. Applications will be reviewed on a rolling basis with an initial deadline of November 15, 2020, but the search will remain open until a suitable candidate is identified. Equal Opportunity Employer/Disability/Veteran

Company

Dr. Valentin Dragoi's lab is located within the Texas Medical Center, the largest medical center in the world, at the University of Texas Health Science Center at Houston. The lab studies how networks of cortical neurons encode information and how the population code influences behavioral decisions. The lab combines electrophysiological (wired and wireless multi-electrode recording, optical and electrical stimulation), behavioral, and computational methods in order to examine these processes.

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