Duke University

Postdoctoral Positions in Statistics and Computational Biology

The Institute of Statistics and Decision Sciences at Duke University
seeks applicants for postdoctoral positions, available immediately,
associated with multi-disciplinary projects in genomics. A suitable
applicant will have a PhD in statistics or a related discipline,
demonstrated creative abilities in methodological and applied
statistics, and enthusiasm for applications in modern genomics. We
seek individuals with strong theoretical skills and interests as
well as a flair for creative development of complex modelling
approaches in challenging applications.

The postdoctoral appointees will be expected to develop innovative
statistical and computational methods relevant in modern genomic
applications, and develop collaborative applications in one or more
areas of biomedical research in existing projects that span
cardiovascular and cancer studies.  The appointee will interact
with faculty, postdoc and graduate students in statistics, genetics,
genome technology and computational biology, and disciplinary
biomedical scientists.

Specific statistical areas of interest include Bayesian methods for
non-linear regression and classification, predictive methods including
tree models, Bayesian networks/graphical models, and methodology
of computational statistics using stochastic computation and
optimisation, distributed computation for statistical analysis, and
high-dimensional data mining.

Applications from individuals with existing postdoctoral experience,
and prior contact with genomic application, will be particularly
competitive.  Salary, terms and benefits are extremely competitive.

Applicants should send an electronic CV to the Postdoctoral Hiring
Committee, via Marsha Harrison, at marsha@isds.duke.edu, and arrange
for 3 letters of reference to be emailed as soon as possible.

Applications from suitably qualified women and minority candidates
are particularly encouraged. Duke University is an Equal
Opportunity/Affirmative Action Employer.