Adapting the feed, the animal and the feeding techniques to improve the efficiency and sustainability of monogastric livestock production systems
Adapting the feed, the animal and the feeding techniques to improve the efficiency and sustainability of monogastric livestock production systems

Feed-a-Gene's post-doctoral position at INRA Rennes

Background

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.

Location

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.

Qualifications

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.

To apply

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.gondret@inra.fr)and Isabelle Louveau(Isabelle.louveau@inra.fr).

Upcoming events

2nd Annual Feed-a-Gene meeting

The 2007 Annual Feed-a-Gene meeting is open to Feed-a-Gene Consortium partners.

25 April 2017 to 27 April 2017
University of Lleida, Lleida, Spain

Livestock Forum Networking Day 2017

27 April 2017Recinto Montjuïc, Barcelona, Spain
Fira Barcelona

1st Advancia Academy

7 May 2017 to 8 May 2017
Barcelona, Spain
Advancia academy

XVII Jornadas sobre producción animal

30 May 2017 to 31 May 2017
Zaragoza, Spain

68th EAAP Annual meeting

28 August 2017 to 1 September 2017
Tallinn, Estonia
68th EAAP Annual meeting

8th European Conference on Precision Livestock Farming (EC-PLF)

12 September 2017 to 14 September 2017
Nantes, France
EC-PLF

11th International Veterinary Behaviour Meeting

14 September 2017 to 16 September 2017
Samorin, Slovakia