Thomas Jefferson University is seeking a Research Associate to participate in an NIH-supported project focused on understanding the molecular and cellular mechanisms of autonomic circuits that control cardiovascular function in both healthy states and heart failure. The role involves developing multiscale computational models to simulate neural control of cardiac physiology and explore neuromodulatory therapies.
Requirements
- Ph.D. in computational biology, systems engineering, computational neuroscience, physiology, or a related field
- significant research experience in application of computational modeling tools and methods.
- Experience in Matlab, R/BioConductor, or related state of the art tools for simulation and analysis of computational models is required.
- Experience in using artificial intelligence methods for combined physics and deep learning models is a plus, but not required.
- Candidates with a proven track record of working on computational modeling research projects are preferred.
Responsibilities
- develop multiscale computational models of molecular, cellular, tissue, and organismal physiological processes governing neural control of cardiac physiology in heart failure and neuromodulatory therapies.
- application of computational modeling tools and methods.
- simulation and analysis of computational models.
Other
- Research Associate position requires five years of work experience after the completion of PhD.
- This position requires a significant amount of teamwork and excellent interpersonal, oral, and written communication skills.
- NOTE: Applicants with less than 5 years of experience post PHD may be considered for a postdoc fellow position.
