Research Associate

Charlottesville, VA
Feb 28, 2018
Institution Type
Four-Year Institution

Working Title: Research Associate

Position Type: Professional Research Staff

Department: Department of Biomedical Engineering

Location: Charlottesville

Posting Date: 11-02-2016

Posting Summary:
The multi-scale muscle mechanics ("M3") laboratory in the Biomedical Engineering Department at the University of Virginia is looking for a post-doctoral research associate to work in the area of computational modeling of skeletal muscle growth and adaptation, under the direct supervision of Dr. Silvia Salinas Blemker and Dr. Shayn Peirce-Cottler. The individual will work with a multi-disciplinary team on an NIH-funded study to develop multi-scale computational models of muscle adaptation to discover new treatments for Duchenne muscular dystrophy.

Required qualifications include a Ph.D. in biomedical engineering, computational biology, physiology, computer science, or a related field, ideally with a strong background in muscle physiology. Familiarity in one or more of the following areas is also a plus: cardiac or skeletal muscle experimentation, medical imaging, finite-element modeling, pharmacology, and/or agent-based modeling. Duties include developing and validating new computational models of muscle, overseeing in vivo pre-clinical and clinical studies, project management, interacting with clinicians, faculty, and students, giving presentations, writing journal articles, and writing proposals. Initial year is fully funded, and reappointment will be performance-based.

To apply, visit and search on Posting Number 0619833. Complete a candidate profile on-line; attach a CV, cover letter, contact information for three references and a statement of Research Interest. The position will remain open until filled.

For questions about the position, please contact Silvia Blemker via email at

The University of Virginia is an equal opportunity/affirmative action employer committed to developing diversity in faculty and welcomes applications from women, minorities, veterans and persons with disabilities.

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