82 phd-mathematical-modelling-population-modelling Postdoctoral positions at Stanford University
Sort by
Refine Your Search
-
big data and AI at its core. A central goal of the project is to build a foundation model of the visual brain—a “digital twin” that captures neural activity and intelligent behavior at unprecedented
-
a PhD or MD-PhD, with expertise in molecular/cellular biology, bioinformatics, biochemistry, or immunology and may have expertise in cell-based and/or animal models. Preference will also be given
-
the Office of Postdoctoral Affairs. The FY25 minimum is $76,383. Our research team is looking for a postdoctoral scholar interested in lymphatic imaging research utilizing a large animal model of lymphatic
-
to research on language and speech development across different populations and contexts, including children acquiring language in different cultural settings outside of the United States to children with
-
–immune interactions, leveraging preclinical models and clinical samples from phase 1 trials. Our goal is to bridge molecular insight with clinical translation. Environment and Resources The Kalbasi Lab is
-
external) ) is hiring a post-doctoral researcher for at least one calendar-year (with the possibility of an additional year) to work on a variety of projects requiring expertise in large scale mathematical
-
-based models as well as patient-derived xenograft models of liver cancer. This position is suitable for a highly motivated self-starter who excels in a dynamic environment offering varied learning
-
. Candidate will have the opportunity to investigate human Tregs in vitro and in vivo, learning from patient samples and humanized mouse models, implement state-of-the-art technologies such as functional
-
claims data (e.g., Medicaid, Marketscan, Population Data BC), and patient-reported outcome measures. Characterize pain management strategies, including the use of corticosteroids, opioids, NSAIDs
-
, implementing, and analyzing population-based field surveys in low- and middle-income countries. The first project will be supporting a representative lead exposure survey across 12,000 households in 10 states in