Postdoc in Approximate Bayesian Computation
and Systems Biology at UW-Madison
We are seeking a postdoc with interests in Bayesian
parameter estimation, systems biology and the
integration of diverse software components.
The goal of this project is to implement and integrate
existing computational tools into a software framework for
parameter estimation in complex biological systems.
This work will use an existing simulation model of the
Cholesterol synthesis pathway as an example. To implement
the software system it will be necessary to integrate
software for Approximate Bayesian Computation (ABC),
distributed computing (Condor) and stochastic simulations.
This is an excellent opportunity to learn about ABC,
distributed computing and systems biology or to get
real life experience of how modeling is done in
systems biology today.
Ideally, the successful candidate would have the
following skills:
- Experience or a strong interest in integrating
software systems.
- Experience or interest in programming in C++ and/or
Python.
- Experience or interest in parameter estimation or
systems biology or distributed computing.
Due to the interdisciplinary nature of the work, candidates
willing to learn some of these skills are encouraged to
apply as well. Candidates with a background in ABC and
evolution are also very welcome.
You will work in an interdisciplinary environment with
- Prof. L. Loewe, ( http://evolution.ws/people/loewe/ )
- Prof. M. Ferris, ( http://www.cs.wisc.edu/~ferris/ )
- Prof. M. Livny ( http://www.cs.wisc.edu/~miron/ )
at the newly opened Wisconsin Institute for Discovery
( http://discovery.wisc.edu/wisconsin/ )
at the University of Wisconsin-Madison. You will also
collaborate internationally with other groups on ABC and
Cholesterol synthesis models.
Review of applications starts immediately and the
position will remain open until a successful
candidate has been found.
To apply, interested applicants should forward their CV
including a publication list, contact details of three
reference writers and a one page description of their
experience and research interests related to this position.
For more information and for applying, please contact
Laurence Loewe directly ( Loewe at wisc dot edu).
Related information and updates regarding to this job
can be found at: http://evolution.ws/people/loewe/jobs
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