Research Associate - Ai Lab
The Rector & Visitors of the University of Virginia | |
United States, Virginia, Charlottesville | |
1215 Lee Street (Show on map) | |
Nov 11, 2024 | |
Prof. Huiwang Ai's Lab (https://med.virginia.edu/ai-lab/) in the Department of Molecular Physiology and Biological Physics at the University of Virginia is currently seeking a postdoctoral research associate with expertise in chemical biology. We are looking to hire an individual with a strong background in synthetic chemistry who is eager to apply their skills to advance biological and biomedical research. The ideal candidate will have a passion for interdisciplinary work, combining the principles of chemistry and biology to address complex scientific questions.
MINIMUM REQUIREMENTS TO APPLY: The successful candidate will pass a criminal background check. Please note that multiple documents can be uploaded in the box. INTERNAL UVA APPLICANTS: please apply through your Workday Home page, search "Find Jobs", and search for requisition # R0066021. Complete an application online and attach a cover letter, CV/resume, and contact information for three references (name, email address, telephone number, address). The successful candidate will pass a criminal background check. Please note that multiple documents can be uploaded in the box. For questions regarding the application process, please contact Eric Allen, Academic Recruiter, at uth9qh@virginia.edu. The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician's Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex, pregnancy, sexual orientation, veteran or military status, and family medical or genetic information. |