A MS or PhD graduate assistantship in statistical genomics is available
the Department of Animal Science at Michigan State University. The
successful applicant will work under the direction of Dr. Robert J.
Tempelman in the applications of hierarchical statistical models to the
analysis of gene expression data. This assistantship is funded through a
multi-institutional USDA-IFAFS project entitled the National Bovine
Functional Genomics Consortium (NBFGC). Although formal training in
bioinformatics is not required, experience with UNIX and an interest to
assist with bioinformatics support of livestock genomics research is
desired. The candidate should be willing to learn and assist with the
processing and annotation of EST sequence and cDNA microarray data as
managed on the project's server (http://www.nbfgc.msu.edu/). Students with
training in quantitative genetics and applied statistics are particularly
encouraged to apply.
Michigan State University is a leader in functional animal genomics
research with bioinformatics expertise existing within the Department of
Animal Science and throughout the University
Interested applicants are encouraged to contact Rob Tempelman (firstname.lastname@example.org).