An EPSRC-funded postdoctoral fellowship at Warwick Systems Biology Centre is
available immediately to work on advanced Bayesian computational methods for
bioinformatics and systems biology.
The successful candidate will be part of a interdisciplinary research project
to develop advanced statistical theory and algorithms that will directly
address current challenges in scientific modelling in molecular biology,
astronomy and econometrics. This research project is a collaboration between
experts in computational biology (Prof. David Wild, Warwick), statistical
machine learning (Prof. Zoubin Ghahramani, Cambridge), statistics and
econometrics (Dr. Jim Griffin, Kent) and astronomy (Prof. Andrew Liddle,
Sussex).
A variety of projects are possible, depending on the background and interests
of the candidate, and include:
- Applications of nonparametric Bayesian modelling to a number of
contemporary problems in computational biology, including:
- static and time-varying graphs, such as molecular structures and
dynamic regulatory networks
- data integration from multiple molecular phenotype platforms,
such as transcriptomics, proteomics, and metabolomics
- The development of new methods for Bayesian experimental design
- The construction of efficient algorithms for inference in
high-dimensional, highly-dependent structured data sets,
based on GPU computation.
Warwick Systems Biology Centre is co-located with the Systems Biology and MOAC
(Molecular Organisation and Assembly in Cells) PhD Programmes and offers a
thriving research and postdoctoral training environment at the interface of the
life sciences and the mathematical and physical sciences.
Candidates should have a Ph.D. in either computational biology or a relevant
quantitative field such as statistics, applied mathematics, theoretical
physics, theoretical chemistry or computer science and a strong interest in
molecular biology. Good programming skills in a high level language such as
Matlab, R or C/C++ are essential and previous experience of Bayesian methods
and MCMC would be an advantage.
For informal discussions, and applications, please contact Prof. David Wild
([log in to unmask]) in the first instance. Applicants should include a
full CV and accompanying letter outlining their interests and any previous
work.
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