61 phd-in-mathematical-modelling-population Postdoctoral positions at Duke University
Sort by
Refine Your Search
-
to advance the application of computational hemodynamic models of cardiovascular flow to aid in remote tracking and early diagnosis of disease. The applicant will gain exposure to other projects in the lab
-
restoration of function. The successful applicant will combine computational modeling, engineering optimization, and in vivo experiments to advance understanding and application of electrical block of neural
-
to precisely shift microbiomes to desired metabolic states. Our research combines multiplexed measurements of single cells, populations and ecosystems with concepts from nonlinear dynamical systems, control
-
cultured human and rodent cardiomyocytes, engineered heart tissues, and animal models of heart development and disease. Specifically, you will engage in basic science and applied research to explore
-
tools, high-throughput screening, and human induced pluripotent stem cells (hiPSCs) to model different cell types, phenotypes, and disorders. We are looking for a highly motivated and talented candidate
-
website. TERM One year, with the possibility of another year extension depending on successful progress. QUALIFICATIONS Applicants should hold a PhD in Earth Science, Environmental Science, or a related
-
for this position will be a highly motivated individual with experience in deep learning and medical imaging and a PhD degree in computer science, electrical and computer engineering, biomedical engineering
-
to Dr. Richardson at curtr@duke.edu. TERM: 1 years, with the possibility of extension based on performance and funding. QUALIFICATIONS: Applicants should hold a PhD in wetland ecology, biogeochemistry
-
-throughput genomic screening approaches, primary cell culture systems, and animal models of influenza disease. For more information visit https://mgm.duke.edu/faculty-and-research/primary-faculty/nicholas
-
require self-direction and the ability to work effectively with other team members, undergraduate, graduate, and other post-doctoral researchers in the in lab. Candidates must have obtained their PhD in a