By continuing to browse the site, you are agreeing to our use of cookies. (More details)
Portal > Offres > Offre UMR5048-FLOLEP-006 - Post-doctorat: Optimisation de l'efficacité de la traduction chez E. coli H/F

Postdoctoral position: Optimization of translation efficiency in E. coli M/F

This offer is available in the following languages:
Français - Anglais

Ensure that your candidate profile is correct before applying. Your profile information will be added to the details for each application. In order to increase your visibility on our Careers Portal and allow employers to see your candidate profile, you can upload your CV to our CV library in one click!

Faites connaître cette offre !

General information

Reference : UMR5048-FLOLEP-006
Workplace : MONTPELLIER
Date of publication : Friday, January 10, 2020
Type of Contract : FTC Scientist
Contract Period : 24 months
Expected date of employment : 2 March 2020
Proportion of work : Full time
Remuneration : Monthly gross salary between €2643 and €4109 depending on experience
Desired level of education : PhD
Experience required : Indifferent

Missions

A 2-year post-doctoral position (One year renewable one year) funded by the pre-industrial demonstrator Toulouse White Biotech (TWB) is available to work in the “Synthetic, Functional and Evolutionary Genomics” group led by Guillaume Cambray at the Centre de Biochimie Structural (CBS) in Montpellier, France.

Activities

Translation is one of the costliest cellular process. A better understanding of its efficiency determinants is required to improve gene expression control while minimizing cellular burdens. With this project, we will precisely program synthetic DNA to untangle the sequence determinant of translation elongation in a reporter system. We will characterize cellular fitness and production burden through quantification of mRNA stability, ribosome load, protein production and cell growth using deep-sequencing readouts. Results will be integrated to previously generated dataset on translation initiation to produce statistical and mechanistic models and create an accurate sequence optimization tool.

Skills

The successful candidate should have a PhD in biology, bioinformatics, biophysics or related and a solid background in high-throughput synthetic biology and/or microbiology. Dual experience with wet (molecular, cell biology) and dry (computer programing, statistical modeling) lab work will be strongly favored. The candidate should feel comfortable working in an interdisciplinary and international environment, be highly motivated and independent to take a strong lead on the project. Clear communication of scientific results through written scientific reports, oral presentations and attendance to scientific meetings is expected.

Work Context

The Centre de Biochimie Structurale (CBS) is an international institute offering a dynamic and stimulating scientific environment (13 teams, 140 persons, multiple nationalities; English is the working language). It provides state-of-the-art facilities, with a collaborative and lively atmosphere. Montpellier hosts a vibrant and diverse research community focusing on basic research, biomedicine, evolution and ecology. It is well connected to other major research areas. Montpellier which is located a few kilometers from sea and mountains in the sunny South, offers a high quality of life and is one of the most attractive cities in France.
The project will be a tight collaboration with Luca Ciandrini (CBS), Sébastien Nouaille and Laurence Girbal (Toulouse Biotechnology Institute).

Constraints and risks

Candidates should send a brief statement of their research interests, their CV and up to 3 recommendation contacts. The position is expected to begin in March 2020.

Related publications
Nguyen et al. 2019. PLoS One.
Cambray et coll. 2018. Nature Biotechnology, 54, 198.
Szavits-Nossan et al. 2018. Physical Review Letters 120, 128101.
Nouaille et al. 2017. Nucleic Acids Research, 45(20):1711-11724.
Guimaraes et al. 2014. Bioinformatics, 30(8), 1087-1094.
Ciandrini et al. 2013. PLoS computational biology, 9 (1), e1002866.

We talk about it on Twitter!