Sort by
Refine Your Search
-
, and apply Crainbow mouse models that express multiple HER2 isoforms — wild-type (WT), D16, and p95 which are essential reagents for the laboratory’s DoD funded program. Minimum Requirements: Ph.D
-
, epigenomics, single-cell technologies, stem cell biology, muscle biology, aging, immunology, gene and cell therapy, computational analysis, or animal models are especially encouraged to apply. Strong motivation
-
or physics Generative AI/transformers, agentic AI, deep learning Computational genomics, network modeling, spatiotemporal/functional data analysis, time-series Strong programming in R and Python; best
-
the non-human primate (NHP) model by exploring innovative mRNA constructs for immunogen delivery that can elicit both protective and therapeutic B and T cell responses. Recently, Dr. Williams was also
-
the mechanisms of, and interventions for, immuno-senescence and aging in lung transplantation using high-throughput multi-‘omic approaches, primary cell culture systems, and animal models of transplantation. Ph.D
-
Summary: Duke University is a world-renowned research institution. Currently, we are looking for a Postdoctoral Associate with expertise in deep learning to participate in a research program focused on
-
/time management skills, and interest in interdisciplinary collaboration. • Experience in the use of large language models for analyzing text and/or advanced skills involved in analyzing complex
-
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
-
application to quantum theory and information science. Other application areas of interest include robust parameter estimation and performance bounds under model misspecification, integrated sensing and
-
necessary animal handling for physiological relevance. Collaboration: Working within a multidisciplinary team to integrate structural data with electrophysiology and computational modeling. Choose Duke