Post date: Dec 5, 2015 11:07:13 PM
From: <evoldir@evol.biology.mcmaster.ca>
Date: Wed, Oct 7, 2015 at 2:22 AM
Subject: Graduate position: PennsylvaniaStateU.EvolutionaryGenomics
The Assis lab (http://www.personal.psu.edu/rua15/index.html) at Penn State
is recruiting several highly motivated Ph.D. students to start in Fall 2016.
Our lab uses computational approaches to study the origin of genotypic and
phenotypic innovation. We are broadly interested in a number of problems in
evolutionary genomics. One current focus of our research is on gene
duplication, which is a major contributor of new gene functions. Potential
projects related to gene duplication include examining the role of natural
selection in the origin of new functions, elucidating the genic and
functional targets of natural selection, comparing functions that arise
under different evolutionary scenarios, and applying mathematical models to
study gene expression evolution. There are also opportunities to study the
origin and evolution of small RNAs, enhancers, and other noncoding
functional elements in the genome.
The above lists only serve as examples, and candidates interested in
alternative research projects in evolutionary genomics are encouraged to
apply. Also, note that our lab is solely computational. While prior
knowledge of a programming language is not necessary, candidates should
have strong quantitative skills and the drive to learn how to program.
If you are interested in joining the lab, please email Raquel Assis (
rassis@psu.edu) a current CV and description of your research interests.
In addition, candidates must submit a formal application to one of the
following three Ph.D. programs: Biology (
http://bio.psu.edu/graduate-portal/join-our-program), Bioinformatics and
Genomics (
http://www.huck.psu.edu/education/bioinformatics-and-genomics/apply), or
Molecular, Cellular, and Integrative Biosciences (
Application deadlines for Fall 2016 admission to these programs are in
December and January, with earlier applications encouraged.
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#bio, #genomics, #evolution