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Postdoctoral Researcher in Cardiac Modelling (Computational Biology)

Applications for this vacancy closed on 23 February 2017 at 12:00PM
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@cs.ox.ac.uk.



The closing date for applications is 12.00 noon on 23 February 2017.
Interviews will be held on 3 March 2017.

dc:spatial
Department of Computer Science, Wolfson Building, Parks Road, Oxford.
Subject
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vacancy:applicationClosingDate
2017-02-23 12:00:00+00:00
vacancy:applicationOpeningDate
2017-01-23 09:00:00+00:00
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False
vacancy:salary
type
comment

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 ...

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 ...
label
Postdoctoral Researcher in Cardiac Modelling (Computational Biology)
notation
127347
based near
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