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Postdoctoral Fellowship in Environmental Health Biostatistics


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an IBP member program

Academic Level:
Graduate Students (PhD)
Postdoc & Early Career

Description:
The Department of Biostatistics and Computational Biology at the University of Rochester announces an opening for a postdoctoral traineeship in Environmental Health (EH) Biostatistics, funded by a National Institute of Environmental Health Sciences T32 training grant.

The appointee will develop and apply novel statistical methodology for projects related to EH, under the mentorship of a Biostatistics faculty trainer. The specific methodological focus may be based in part on the trainee's interests, and will involve co-mentorship from a leading environmental health researcher.

Examples of EH topics include studies of (a) the associations between air pollution exposure and biomarkers thought to indicate increased risk of future cardiac events; (b) effects of pre- and post-natal mercury exposure from fish consumption on multiple outcomes in childhood and adolescence; (c) RNA sequencing to quantify the effect of dioxin exposure on CD8+ T-cell gene expression accounting for an unknown mixture of responders and non-responders; and (d) methods to quantify morphologic changes in microglia in response to pharmacological alterations of noradrenergic signaling in the brain. Methodological expertise among T32 faculty trainers includes Bayesian MCMC methods, models for multiple outcomes, latent variable models, measurement error, missing data, causal inference, survival analysis, clustering, statistical genomics, molecular systems biology, and bioinformatics.

The appointee will also receive training in advanced biostatistics and in toxicology, and be involved in other collaborative work with EH researchers.
upcoming deadline

Application Deadline: 5/31/2019

Participating Institution(s):
(Click an institution to see all programs it hosts)
University of Rochester (Lead)

Program Materials:
 • Postdoc Website this link takes you to a different website

This Program can be Described by:
Academic Disciplines:
Applied Mathematics
Bioinformatics & Genomics
Computational Sciences
Environmental Sciences
Epidemiology
Mathematics
Statistics

Keywords:
Applied Statistics
Bayesian Methods
Bioinformatics
Biostatistics
Computational Statistics
Environmental Health
Environmental Toxicology
Epidemiology
Statistical Genetics
Statistical Modelling

Learn More and Apply!

This program is funded by:
National Institute of Health (NIH)


Page last updated 2/19/2019
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