Sort by
Refine Your Search
-
the direction of the principal investigator, the Post Doctoral Associate conducts highly specialized and technical research involving animal models of cardiovascular disease. Among the key duties of the position
-
Qualifications Experience in quantitative modeling, stock assessment, population dynamics, statistics, and computer programming (R, Python, Matlab, Template Model Builder, AD Model Builder) are preferred
-
at the intersection of computational modeling, data science, and clinical medicine. The successful candidate will work closely with clinicians, intensivists, and computational scientists to develop
-
will use genetic perturbation and overexpression in vitro and in vivo (mouse) models to uncover principles that inform tissue repair, oral health, and host–microbe interactions. This position offers
-
differentiation and the immune response, with mechanistic explorations to unveil new therapeutic strategies. Works with primary T cells in vitro and mouse models in vivo, effectively. Demonstrates expertise in flow
-
Science, Electrical/Computer Engineering, or a related field by the start date, with a strong publication record in computer vision, multimodal learning, or vision–language models. We require hands-on expertise with
-
at the intersection of computational modeling, data science, and clinical medicine. The successful candidate will work closely with clinicians, intensivists, and computational scientists to develop
-
using specific laboratory techniques that involve flow cytometry analysis, animal models of airway and brain disorders, single-cell RNA-seq, multiplex cytokine assays, and immunofluorescence imaging
-
preferred. Experience with atmospheric models (e.g., GEOS-Chem, CMAQ) and skills in python, Fortran and high-performance computing are also desired. Position Status Full Time Posting Number 25FA0918 Posting
-
communities in health and disease. The successful candidate will work at the interface of bioinformatics, microbiome ecology, and metabolomics, contributing to both computational analyses and laboratory