Computational analysis of non-coding RNAs
Position type: Post-doctoral Fellow
Functional area: Lille (Villeneuve d'Asq)
Research theme: Biological systems
Project: SEQUOIA
Environnement
One of the most important recent discoveries in molecular biology are
related to the role of non-coding genes (RNA genes) that seems to have
been largely underestimated so far. Little is known on non-coding
genes: their identification remains an open problem as existing
prediction methods for protein-coding genes don't apply to RNA
genes and no well-defined statistical properties are known that would
characterize them. Their comparison is a major problem too as an
adequate evolutionary distance measure for RNA structures has not been
established so far. Note however that more and more data on non-coding
genes are now becoming available, which makes possible a deeper
computational analysis.
Missions
The successful candidate will work on statistical and combinatorial
properties that model the evolution and internal structure of RNA
genes. Depending on the candidate's background, the work can be
oriented towards experimental and implementation issues, in which case
it will be related to two software tools that have been designed by
members of the team: YASS (http://bioinfo.lifl.fr/yass/) for homology
search and caRNAc (http://bioinfo.lifl.fr/RNA/carnac/) for RNA gene
analysis.
Activités
Projet ou équipe : SEQUOIA (http://www.lifl.fr/SEQUOIA/)
Compétences et Profil
PhD in computer science or computational biology. Required skills
include good knowledge in discrete mathematics and algorithms as well
as in probabilistic models. Skills in programming and an aptitude for
software experimentation is also expected.
Field5
This contract is aimed at French or foreign
candidates they have defended their Phd after May
1st, 2006. Candidates who prepared their Phd
abroad will be considered with priority. Applicants must be less 40 years old.
http://www.talentsplace.com/syndication1/inria/ukpostdoc/details.html?id=PNGFK026203F3VBQB6G68LOE1&LOV5=4508&LOV6=4516&LG=EN&Resultsperpage=20&nPostingID=1199&nPostingTargetID=3250&option=52&sort=DESC&nDepartmentID=19
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Dr. Gaël Thébaud
Graham Kerr Building (Room 304)
Division of Environmental & Evolutionary Biology
University of Glasgow
Glasgow G12 8QQ
Scotland, UK
Tel.: +44 (0)141 330 5340
Fax: +44 (0)141 330 5971
http://www.gla.ac.uk/ibls/DEEB/teg/people/thebaud.htm
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