We are
opening a postdoctoral position to work on a collaborative project between the
Station of Experimental Ecology of the CNRS (French National Center for
Scientific Research) and the Bioinformatics Plateform of the Genome Center in
Toulouse (Plateforme GenoToul Bioinfo), France. The position is available for
one year, renewable once.
The
research developed at the Station of Experimental Ecology (http://www.ecoex-moulis.cnrs.fr/) aims
to understand the impact of environmental changes (e.g., climate change) on
natural populations, using species such as butterflies and lizards as model
systems. In today’s rapidly evolving landscapes, we expect dispersal to play a particularly
crucial role in allowing organisms to cope with changing environmental
conditions, yet how, and how rapidly organisms may respond to selection on
mobility remains currently unknown. Our
aim is to improve our understanding of the mechanisms underlying the adaptive
responses of organisms to increased selective pressures on mobility, in order
to develop more realistic predictive models of population dynamics and species
persistence.
The bioinformatics plateform is
one of 12 plateforms of the Genome Center in Toulouse (http://bioinfo.genotoul.fr/), which
assists research teams with data processing and
data storage, and provides access to generalist and specialist data banks and bioinformatics
software.
The postdoctoral
position offered is funded by a French ANR grant obtained to better understand
variations in the locomotor abilities of lizards, butterflies and frogs using
genomic, transcriptional, physiological and ecological approaches. To do so, we will be sequencing the
transcriptomes of the lizard (Lacerta
vivipara) and the butterfly (Pieris brassicae) using 454 technology, to use as references
in future genomic studies. The successful candidate will work in close
collaboration with both teams at the Station of Experimental Ecology and at the
Bioinformatics Plateform and will be in charge of the assembly of the sequence
data, identification of SNPs associated with phenotypic variation, and
potentially, gene expression analyses of RNA seq data.
In
addition, the successful candidate will be in charge of analyzing and
interpreting results, and will also be involved in the writing of research
reports and scientific papers.
Ideal candidates will have a Ph.D. in transcriptomics,
bioinformatics, or other relevant field, proven research experience and a
strong publication record. Candidates
should be comfortable working in a UNIX environment, have a strong programming
background, be proficient in working with large datasets and have solid
analytical, computing and statistical skills.
To apply for these positions, please send an
email with a single collated PDF including (1) CV, (2) names and contact
information of three references, (3) statement of research interests, to Michel
Baguette (baguette@mnhn.fr) by January 15, 2012. The
position is expected to start in April/May 2012.
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