By continuing to browse the site, you are agreeing to our use of cookies. (More details)
Portal > Offres > Offre UMR7241-FRABLA-002 - Chercheur.e postdoctoral en génomique bactérienne H/F

Postdoctoral researcher in bacterial genomic M/F

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

Application Deadline : 28 May 2024

Ensure that your candidate profile is correct before applying.

General information

Offer title : Postdoctoral researcher in bacterial genomic M/F (H/F)
Reference : UMR7241-FRABLA-002
Number of position : 1
Workplace : PARIS 05
Date of publication : 07 May 2024
Type of Contract : FTC Scientist
Contract Period : 12 months
Expected date of employment : 1 September 2024
Proportion of work : Full time
Remuneration : Raw salary around 4000 euros per month
Desired level of education : Niveau 8 - (Doctorat)
Experience required : 1 to 4 years
Section(s) CN : Biodiversity, evolution and biological adaptations: from macromolecules to communities

Missions

Develop and use bioinformatic pipelines to clean and analyse bacterial genomes and their link with host phenotypes and epidemiological dynamics (gene content, phylogenetic inference, pangenome analyses, SNPs calling, Genome-Wide Association Study, etc.)
Communicate findings at conferences and seminars.
Publish results in scientific journals.

Activities

- Analyse bacterial genomic data
- Present findings at scientific conferences
- Write down scientific publications

Skills

Experience in genomic and bioinformatics.
Experience or strong interest in studying bacterial genome evolution.
Strong analytical skills.

Work Context

The postdoctoral researcher will join two research groups: one in Quartier Latin in the center of Paris (Centre Interdisciplinaire de Recherche en Biologie, UMR CNRS 7241, Collège de France) specialised in mathematical models to study evolution, the other on the Bichat Medical School campus in the North of Paris (Infection, Antimicrobials, Modelling, Evolution, UMR INSERM 1137) specialised in infectious diseases ecology & evolution. These groups offer opportunities for collaborations with mathematical modellers, bioinformaticians, medical doctors, and biologists.

Constraints and risks

None.
-