64 computer-science-"https:"-"https:"-"https:"-"https:"-"https:" "https:" "DIFFER" Postdoctoral positions at Duke University
Sort by
Refine Your Search
-
position is appropriate for a candidate who is enthusiastic and willing to undertake multiple molecular biology and computational approaches to evaluate host immunity elicited by candidate HIV vaccines when
-
critical role in advancing innovative vision research through artificial intelligence, data science, and interdisciplinary collaboration. Working alongside clinicians, researchers, statisticians, fellows
-
(Microbiology & Immunology, University of Michigan) Minimum Requirements Ph.D. in applied mathematics, computational biology, quantitative biology, or a related field. Experience in ABM development and ODE/PDE
-
Academic credentials: PhD in ecology, biology, statistics, computer science or engineering, or oceanography with a strong quantitative analysis background, particularly in species distribution modeling
-
Neuroscience and Associate Chair of Psychology and Neuroscience; and Dr. Christopher Bail, Professor of Sociology, Computer Science, Political Science, and Public Policy and Director of the Society-Centered AI
-
, Computational Biology, or a related scientific discipline, or expected completion before the start date. Demonstrated research productivity through first-author publications, submitted manuscripts, or comparable
-
contributions to biomedical science. Be Bold. Join a research program focused on uncovering the cellular, molecular, and neural mechanisms underlying migraine and chronic pain. You'll leverage cutting-edge
-
, innovation, and scientific excellence. What You'll Bring: Required Qualifications MD, PhD, or equivalent doctoral degree in Clinical Neurophysiology, Epilepsy, Neuroscience, Neurology, Biomedical Sciences
-
. This position is designed for scientists with strong computational and quantitative training who are interested in agent-based modeling, network science, infectious disease dynamics, uncertainty quantification
-
leading experts in autism research, computer vision, machine learning, psychiatry, and developmental science to develop innovative technologies that improve how caregiver-child interactions and