Job Information
University of North Carolina- Chapel Hill Post-Doc Research Associate in NC-Chapel-Hill, United States
Employment Type: Postdoctoral Scholar
Vacancy ID: PDS003971
Position Summary/Description:
The Miao Lab in the Computational Medicine Program and Department of Pharmacology at the University of North Carolina – Chapel Hill (https://www.med.unc.edu/pharm/directory/yinglong-miao/) is looking for two highly motivated Postdoctoral fellows to work on accelerated molecular simulations and AI-driven drug discovery.
Research projects in the Miao Lab include development of novel theoretical and computational methods and AI techniques for accelerated simulations of biomolecular recognition (such as drug binding and protein-protein interactions) and cellular signaling, and cutting-edge applications in drug discovery of critical targets including G-protein-coupled receptors (GPCRs), membrane-embedded proteases, RNA -binding proteins and RNA . In collaboration with world-leading experimentalists in pharmacology, structural biology, biochemistry and medicinal chemistry, the new postdoc will have the opportunity to work on unprecedented simulations and AI-driven drug discovery of functionally important biomolecules for treatments of neurological disorders, heart failure and cancers.
Education and Experience:
Candidates are expected to have strong publication record in biomolecular modeling and computational biophysics/chemistry. Programming skills (e.g., bash scripting, python, Fortran, C++ and CUDA ), expertise in computational modeling (such as Molecular Dynamics, virtual screening, free energy calculations and Deep Learning), successful experimental collaboration experiences and excellent communication skills are preferred.
AA/EEO Statement:
The University of North Carolina at Chapel Hill is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender, gender expression, gender identity, genetic information, race, national origin, religion, sex, sexual orientation, or status as a protected veteran.