Postdoctoral Researcher
- Employer
- Lehigh University
- Location
- Bethlehem, Pennsylvania
- Salary
- NIH scale
- Closing date
- Sep 4, 2023
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- Sector
- Graduate School or University
- Job Function
- Postdoctoral Researcher
- Research Area
- Neural Excitability, Synapses, & Glia
- Position Type
- Full Time
- Level
- Any Experience Level Considered
The Haas lab at Lehigh University has an opening for a postdoctoral researcher who is psyched about electrical synapses and/or the thalamic reticular nucleus. Our mainstay techniques include acute brain slices, single-cell electrophysiology, optogenetics, circuit-level computational models, and we speak Matlab. Our long-term goal is to understand how the circuitry of the thalamus controls cortical attention to the sensory surround. The position is available for 2 to 5 years, supported by a new award from NIH. Lab members enjoys collaboration and training in grantsmanship, oral and written communication, laboratory management, and mentorship. The Bethlehem area enjoys easy access to NYC and Philadelphia, and the lab and Biological Sciences department provides an attentive, supportive and collaborative research environment with excellent training and career development opportunities. Interested candidates should send their CV, a brief statement of research interests and goals, and the names and contact information for professional references to: julie.haas@lehigh.edu
Requirements:
• PhD degree with a focus in neuroscience.
• Previous experience in electrophysiology
• Established track record of research productivity.
• Excellent communication skills and demonstrates effective skills in time management and project organization.
• Applicant must meet all eligibility requirements for employment, including US visa status and successful completion of a background check.
• Applicants from under-represented minority groups are especially encouraged to apply.
Additional Salary Information: Appointment is a one-year contract at NIH salary scale, and is renewable for additional years based on performance and funding availability.
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