Grenoble -Rhone-Alpes (France). The thesis focuses on the stochastic modelling
and identification of gene expression dynamics at the cell level based on
time-lapse fluorescence microscopy data.
Models and identification algorithms
will be developed and tested by simulation and by application to the study of
gene expression in enterobacterium Escherichia coli. The research activity will
be conducted within the IBIS group (http://ibis.inrialpes.fr), in tight
collaboration with the experimental biology lab of Hans Geiselmann at the
Université Joseph Fourier.
The project is well suited to graduates/masters with
a background in system/control theory, computer science and probability theory,
working knowledge of scientific programming tools (e.g., Matlab, Scilab, C, ...)
and a strong interest in biological applications. Initial gross income is
1947,80 € / month. Knowledge of French is not requested.
Application deadline is 04/05/2010. Additional information can be found at
http://www.inria.fr/travailler/opportunites/doc.en.html (Thesis offer no 207).
Interested candidates should contact:
Eugenio Cinquemani: eugenio.cinquemani@inria.fr
Hidde de Jong: hidde.de-jong@inria.fr
Please quote 10 Academic Resources Daily in your application to this opportunity!
