Research Fellow in Statistical Computation of Biological Networks
Warwick Systems Biology Centre, UK
Fixed Term Contract for 3 years
You will work on Bayesian statistical analysis of biological data to infer gene
regulatory networks involved in plant response to external stresses as part of
a 5M research award to the Universities of Warwick, Exeter and Essex. This
BBSRC Systems Approach to Biological Research (SABR) Initiative will develop
models of how plants cope with environmental stress.
You will develop and apply statistical algorithms (eg Markov chain Monte Carlo,
particle filtering and approximation methods such as Variational Bayes
techniques) for network inference from a variety of data types (such as gene
expression time series, ChIP-chip and bioinformatics data). You will work
closely with a team of plant biologists to aid in experimental design and data
analysis. The project is interdisciplinary, working with a large consortium of
biologists, bioinformaticians, mathematicians and statisticians.
You will have a PhD or equivalent in computational biology or a relevant
quantitative field such as statistics, computer science, theoretical physics,
applied mathematics, or engineering and a strong interest in molecular biology.
Experience in statistical computation and the ability to programme in a high
level language such as Matlab. R, and/or C/C++ is also essential. As is the
ability to present and publish the research findings to a high level.
If you wish to discuss the post prior to application, please contact Prof.
David Wild ([log in to unmask]).
Further details and application form at
https://secure.admin.warwick.ac.uk/webjobs/jobs/research/job6771.html
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