Sort by
Refine Your Search
-
awarded a NIH U01 grant to develop new vaccine strategies that can induce antibodies in early-life capable of preventingHIV-1infection in pediatric populations. This computational immunobiology postdoctoral
-
equation models for Epstein–Barr Virus (EBV) and HIV-1 infection dynamics in human lymphoid tissue. New mathematical models will be informed by longitudinal experimental data, including multiplexed spatial
-
. The postdoc will also play key roles in developing AI-use measurement techniques and experience sampling measures. This is an ambitious, fast-moving research program, and the position is well suited to a
-
proteostasis, cytoskeletal dynamics, and ferroptotic cell death. This collaborative work combines biochemistry, chemical biology, cell signaling, live-cell imaging, and organotypic brain slice models to dissect
-
computational immunology as part of the NIH/NIAID-funded Multiscale Immune System Modeling (MISM) Center. The postdoctoral associate will contribute to and participate in meetings, workshops, trainings
-
of the following tasks: 1) Laser-based instrumentation design, fiber coupling, and optical characterization. 2) Experimental investigation and computational model simulation of laser-induced bubble dynamics and
-
sponsor the individual. The term of the appointment is limited (see Section 5 of the Postdoc Policy for length of appointment). The appointment involves substantially full-time research or scholarship, and
-
. 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
-
5 of the Postdoc Policy for the length of the appointment). The appointment involves substantially full-time research or scholarship and may include teaching responsibilities. The Postdoctoral
-
apply advanced computational and statistical analysis methods to quantify neural signaling dynamics associated with motor learning. Collaborate with faculty, trainees, and research staff to advance