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发帖数: 407 | 1 Applications are invited for Postdoctoral Researchers to join research group
in the Department of Biostatistics at the University of Michigan. Research
in the lab focuses on the development of statistical methods and
computational tools for the analysis of large-scale and high-dimensional
biological data from genetic association studies and functional genomic
sequencing studies. Recent work includes: Bayesian hierarchical models to
quantify genome-wide inheritance, Bayesian sparse regression models for risk
/phenotype prediction, mixed effects models to control for population
stratification, multivariate models to jointly analyze multiple correlated
phenotypes, and QTL mapping and allelic specific expression analysis.
Position Qualifications: Applicants should have, or be studying for, a PhD
in biostatistics, bioinformatics, computational biology, or related
quantitative discipline. A strong computational background is required.
Knowledge in Bayesian statistics is preferable but not required.
Application Information: Applicants should send a CV, a short research
statement, and names of referees to [email protected]
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