|The Randles lab has an immediate opening for a Postdoctoral Associate to conduct applied research in the area of large-scale hemodynamic simulations. We are interested in questions that are of crucial importance for vascular disease research, and we use mathematical and computational techniques to approach them. In particular, we are coupling a kinetic representation of fluid mechanics with a deformable representation of suspended bodies and vessel walls to create patient-specific simulations of hemodynamics. Such methods are extremely computationally intense and require use of large-scale supercomputers. The focus of the candidate will be on the development and application of multiscale/multiphysics software to study the localization and progression of disease. The position is available for immediate hire with a 2-year term and opportunity for additional annual renewal contingent on performance and funding availability.
The successful candidate will have:
• Ph.D. in Biomedical Engineering, Physics, Applied Mathematics, Scientific Computing or Computational Biology.
• Strong programming skills
• Experience with C or C++ programming language
• Demonstrated effective verbal and written communication skills necessary to author technical and scientific reports and papers and to deliver scientific presentations.
• Publication record in peer-reviewed journals and/or conferences.
• Experience with the lattice Boltzmann method is preferred
Qualified candidates should submit a CV, 3 references, and cover letter with description of research interests directly to Amanda Randles at firstname.lastname@example.org.
Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, genetic information, gender, gender identity, national origin, race, religion, sexual orientation, or veteran status.|
Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual’s age, color, disability, genetic information, gender, gender identity, gender expression, national origin, race, religion, sexual orientation, or veteran status.