Doc02434 - PhD - Experimental and computational analysis of bacterial self-replicators
Le descriptif de l’offre ci-dessous est en Anglais

Niveau de diplôme exigé : Bac + 5 ou équivalent

Fonction : Doctorant

A propos du centre ou de la direction fonctionnelle

Grenoble Rhône-Alpes Research Center groups together a few less than 800 people in 35 research teams and 9 research support departments.

Staff is localized on 5 campuses in Grenoble and Lyon, in close collaboration with labs, research and higher education institutions in Grenoble and Lyon, but also with the economic players in these areas.

Present in the fields of software, high-performance computing, Internet of things, image and data, but also simulation in oceanography and biology, it participates at the best level of international scientific achievements and collaborations in both Europe and the rest of the world.

Contexte et atouts du poste

The open position concerns the IBIS group, which joins researchers from Inria Grenoble – Rhône-Alpes and the Laboratoire Interdisciplinaire de Physique at Université Grenoble Alpes (CNRS UMR 5588).

The first aim of the IBIS project-team is the unravelling of the adaptive strategies of bacteria through a systems-biology approach, making use of both models and experiments.

In particular, we will focus on the enterobacterium Escherichia coli, for which enormous amounts of genomic, genetic, biochemical and physiological data have been accumulated over the past decades.

A better understanding of the adaptive capabilities of E. coli in a variety of situations is a necessary prerequisite for interfering with these strategies by specific perturbations or by even rewiring the underlying regulatory networks.

This is the second and most ambitious aim of the research programme, which does not only spawn fundamental research on the control of living matter, but which may ultimately acquire practical relevance since E. coli serves as a model for many pathogenic bacteria and is widely used in biotechnology.

Mission confiée

Experimental and computational analysis of bacterial self-replicators

Compétences

Applicants may come from different disciplinary backgrounds - physics, biology, computer science, or mathematics.

We expect them to be strongly motivated by interdisciplinary work combining experimental work in the lab with the mathematical modeling of biological systems and data analysis.

Basic knowledge in microbiology and previous experience with some of the techniques mentioned above would be appreciated.

Good relational skills are important for the project, as it will be carried out in an interdisciplinary and international environment.

Avantages sociaux

Restaurant on site
Financial participation for public transport
Social security
Social and sporting activities
Arranging working time
French courses