Feed-a-Gene's post-doctoral position at INRA Rennes
Improving the efficiency of animals in the livestock sector is a prioritized research topic for contributing to competitive industries under the Horizon 2020 strategy. Progress must be made in identifying appropriate phenotypes and appropriate indicator traits that reflect improved resource-use efficiency. In the framework of the Feed-a-Gene EU project (http://www.feed-a-gene.eu; Grant Agreement n°633531), we will explore and identify new animal traits directly or indirectly related to individual variation in the animal’s feed efficiency.
Description of the job
The post-doctoral fellow will have to analyze molecular data that have been previously obtained from transcriptomics methodologies (microarrays, RNAseq and/or qPCR) to determine relevant molecular indicators of feed efficiency. He/She will use statistical techniques (random forests, PLS, decision trees) to propose predictive models and bioinformatics tools (assembly of data, data-mining, gene networks) to explore the biology behind the selected genes. He/She will also have to write an original paper and disseminate obtained results through scientific meetings.
The work will be carried out at INRA (National Institute for Agricultural Research), in a research unit (UMR1348 INRA/AgroCampus-Ouest, https://www6.rennes.inra.fr/pegase) located in Rennes/Saint-Gilles (France). This unit gathers over 125 persons studying animal physiology and livestock production systems. The post-doctoral fellow will work with scientists from the team entitled “Physiology and Metabolisms of Growth” having a great expertise in investigating the regulation of energy homeostasis in the pig, and developing many experimental studies on feed efficiency.
To be considered, the successful candidate must have a PhD related to biological sciences with excellent knowledge in statistics. Programing in R language is mandatory. A prior experience in the analysis of high-throughput transcriptomics data is recommended.
Funding is available for 1 year (May 2017-May 2018). Gross salary is around 2300 euros/month.
Please send your application by March 20th 2017 by e-mail as a single PDF (CV + cover letter summarizing research and career goals) to Florence Gondret (Florence.firstname.lastname@example.org)and Isabelle Louveau(Isabelle.email@example.com).