- From: Jonathan Cooper <jonathan.cooper AT cs.ox.ac.uk>
- To: cellml-discussion AT lists.cellml.org
- Subject: [cellml-discussion] Postdoc opportunity in Cardiac Modelling with CellML at Oxford, UK
- Date: Tue, 24 Jan 2017 21:18:35 +0000
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- Organization: University of Oxford
Dear all,
We are looking for a full time postdoctoral researcher to work in the
area of cardiac modelling. This is a fixed term position for up to 3
years with a start date of 1 April 2017, or by latest 1 July 2017. The 3
year project is a collaboration between the Computational Biology Group
at Oxford (where this role will be based) and the Research Software
Development Group (RSDG) at University College London (UCL). This
BBSRC-funded project will demonstrate that by focusing on the
reproducible development of mathematical and computational models, we
can greatly improve the utility of the models that are produced and
hence the rate of progress in systems biology. The result will be a
community resource for cardiac researchers that will allow them to
develop, reproduce, and compare mathematical models of cardiac cell
electrophysiology with full confidence in the phylogeny and robustness
of those models.
You will primarily be responsible for: enhancing our existing
implementations of Bayesian parameter fitting methods, incorporating
these within the Web Lab (
https://chaste.cs.ox.ac.uk/WebLab) framework,
and applying them to the cardiac case studies. These case studies will
encode all the data and fitting algorithms necessary to derive a model’s
parameters (and in some cases structure), enabling the process to be
repeated. This will include work on model comparison and selection
techniques, uncertainty propagation, and efficient algorithm
implementation in concert with the RSDG. The role will also require
engagement with the cardiac modelling community to promote use of the
tools, train users through annual workshops, and solicit their feedback.
The ideal candidate will have: a PhD (or be very close to completion) in
a relevant area of science or related discipline, extensive proficiency
in scientific programming in Python, a documented track record of the
ability to conduct and complete research projects in the area of
statistical / computational modelling of complex systems, and the
ability to work effectively as part of a team. It is desirable to have
experience of parameter estimation and model selection techniques,
especially MCMC or Approximate Bayesian Computation.
Informal enquiries can be made to
gary.mirams AT cs.ox.ac.uk
.
*The closing date for applications is 12 noon on 23 February 2017.
Interviews will be held on 3 March 2017. *
For more details and to apply see
http://www.cs.ox.ac.uk/news/1244-full.html
Best wishes,
Jonathan
- [cellml-discussion] Postdoc opportunity in Cardiac Modelling with CellML at Oxford, UK, Jonathan Cooper, 01/25/2017
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