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Portail > Offres > Offre UMR8197-NATBOI-079 - Chercheur H/F en Modélisation dynamique prédictive de l'apparition de cellules résistantes lors du traitement de leucémies aiguës promyélocytaires à l'acide rétinoique

Postdoctoral Researcher in Predictive dynamical modelling of the apparition of acute promyelocytic leukemia cells resisting to retinoic acid treatment

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Français - Anglais

Date Limite Candidature : jeudi 5 août 2021

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General information

Reference : UMR8197-NATBOI-079
Workplace : PARIS 05
Date of publication : Thursday, July 15, 2021
Type of Contract : FTC Scientist
Contract Period : 12 months
Expected date of employment : 1 November 2021
Proportion of work : Full time
Remuneration : between 2800 and 3800 € monthly gross salary according to experience
Desired level of education : PhD
Experience required : Indifferent


- Integration of molecular data on signalling pathways, transcriptional regulatory circuits, and epigenetic mechanisms underling the apparition of acute promyelocytic leukemia cells resisting to retinoic acid treatment, in order to generate a predictive dynamical model.
- Exploitation of this model to delineate intervention points and combinatory strategies susceptible to block the development of such resistances.


The person recruited will contribute to the modelling tasks of the project ITMO Cancer MIC APL-EpiNet, coordinated by Elisabeth Remy (I2M, Marseille). S/he will work on the development of a predictive dynamical model of the development of acute promyelocytic leukemia cells resisting to retinoic acid treatment. Model predictions will be validaded by the team of Estelle Durprez (CRCM, Marseille). The person recruited will thus regularly interact with members of these three teams during regular meetings, at least monthly, using visio-conference means or gathering in Paris or Marseille.


A solid background in biochemistry (cell signalisation, metabolism) and in immunology is required. An experience in the dynamical modelling and analysis of cellular networks is desired. Some experience in the computational analysis of omics data would be further appreciated.

Work Context

The Institute of Biology of the Ecole Normale Supérieure (IBENS) is a multidisciplinary research center in Biology. Conveniently located in the Latin Quarter in downtown Paris, IBENS is a mixed ENS-CNRS-INSERM unit comprising over 300 staff members, dispatched in 30 research teams developping collaborative and interdisciplinary research. IBENS researchers cover a wide range of disciplines, including evolutionary biology, ecology, computational biology, genetics, and comparative genomics.
Several technological platforms are at the disposal of researchers, including in genomics, imaging, proteomics and bioinformatics. Interdisciplinary research at IBENS benefits from interactions with researchers with other departments of ENS (physics, chemistry, cognitive sciences, mathematics). IBENS is actively involved in the training of graduated students and young researchers.
The host team (Computational Systems Biology), directed by Denis Thieffry currently includes five permanent teachers/researchers, one technician, one postdoc, and two PhD students. The aim of the group is to develop efficient algorithms for the analysis of omics data and for the computational modelling of biological networks.

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