Postdoc in systems biology
The postdoc will implement a computational model of transcriptional
networks that is both realistic enough to be related to yeast data and
simple enough for experimental evolution to be rapidly simulated. The
model will then be used to study a range of questions, including network
topology and the evolution of robustness/canalization to mutation, to the
environment, and to the stochasticity associated with small numbers of
molecules in cells.
The postdoc will work closely with PI Joanna Masel
(http://eebweb.arizona.edu/Faculty/bios/masel.html) at the University of
Arizona in Tucson, and will also interact with collaborator Mark Siegal
(www.nyu.edu/fas/dept/biology/faculty/siegal) at NYU. The position is
renewable over multiple years, and is available immediately. Ph.D. with
modeling and/or scientific programming experience is required. Experience
in systems biology, genomics, evolutionary biology and/or the biology of
transcription factors and their binding sites is preferred.
Contact Joanna Masel at masel from u.arizona.edu for more information and to
apply.
