61 phd-in-mathematical-modelling-population Postdoctoral positions at Duke University
Sort by
Refine Your Search
-
, United States of America [map ] Subject Areas: Computer Programming Systems Modeling Biochemistry Atmospheric Science Appl Deadline: (posted 2025/02/19, listed until 2025/05/01) Position Description: Apply Position
-
outside Duke University. Preferred qualifications: PhD (completed in the last 1-5 years or PhD candidate) in a quantitative discipline, including Computational Biology, Bioinformatics, Computer Science
-
of output from global climate models (CMIP-class models) as well as Integrated Assessment Models (IAMs) such as GCAM or PAGE. The candidate must have a PhD degree in a related field, be fluent in computer
-
and non-invasive neurostimulation. The strong interdisciplinary and collaborative environment at Duke is ideal for our multi-scale modeling research efforts. An earned PhD and previous experience in
-
collaborative environment at Duke is ideal for our multi-scale modeling research efforts. An earned PhD and previous experience in computational neurostimulation modeling are required as are excellent
-
populations across North Carolina and globally, yielding insights into dietary patterns, disease risk, and socioeconomic determinants of health. We are particularly interested in a candidate who could
-
and health, either with a background in population health analyses or laboratory research experience in molecular toxicology assays based on the zebrafish model. PROJECTED START DATE: The position is
-
cells with organoid culture, which will create novel pre-clinical disease models. 3.Identifying vulnerabilities in treatment-resistant epithelial cancers. 4.Developing novel therapies targeting oncogenic
-
Description Post-Doctoral Research Associate in modeling materials effect in Urban Heat Island Job Description: A post-doctoral research position is available at Duke University for a candidate with expertise
-
recent Ph.D. in microbiology, evolutionary biology, computer science, physics, applied mathematics, or engineering. Our research integrates mathematical modeling, machine learning, and quantitative