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Offre de contrat post-doctoral en modélisation des systèmes biologiques complexes

Une offre de contrat post-doctoral en modélisation des systèmes biologiques complexes à l’université de technologie de Compiègne est disponible :

Post doc subject: A Multi-agent System of the Cell Membrane: Auto-assembly and Particle/ion Interaction
Advisors: Prof. Karim El Kirat, Dr. Tien-Tuan Dao (BMBI laboratory, UMR CNRS-UTC 7338 Biomécanique et Bioingénierie), Dr. Pascal Moyal (LMAC laboratory, UTC EA 2222 Laboratoire de Mathématiques Appliquées de Compiègne)
Cell is the basic living unit of the human body. Its dynamic behaviors allow all biological processes to be occurred and regularized. The understanding of cell constituents and their property-function relationship plays a crucial role in the diagnosis, treatment and follow-up of diseases. Experimentation has been designed for studying cell behaviors. However, this approach is time-consuming and it is very hard to set up a long-term experiment. Thus, mathematical modeling of the cell has been considered as an alternative solution to reduce experiments and to test long-term hypotheses. Among the complex structures, cell membrane is the basic element to protect the cell from its surrounding environment as well as to allow the cell-environment interaction (e.g. substance exchange). At the moment, accurate mathematical model of this complex structure remains a research challenge.
The objective of this project is to develop such cell membrane model and to simulate its interactive behaviors with environmental factors leading to predict its behaviors under pathophysiological conditions. Agent-based modeling and simulation (ABMS) will be used as numerical tool. A 3D model of the cell membrane with embedded water molecules and proteins will be developed. The auto-assembly process of the cell membrane will be simulated. Moreover, complex agent behaviors (e.g. action, evolution, interaction) will be modeled using knowledge-driven or experiment-driven rules expressing biological processes. Queueing theory will be applied to take the high randomness of the substance exchanges at the membrane level into consideration. The interaction of the membrane and membranotropic agents (e.g. negative-charged nanoparticles (TiO2), ions or antimicrobial peptides/enzymes) will be simulated. Finally, the application of the developed model for the prediction with positive-charged nanoparticle and membrane fusion will be performed.
Candidate’s profile:
PhD in Computational Bioengineering, Computer Engineering.
Knowledge and practical expertise with Agent-based modeling and simulation (ABMS)
Knowledge and/or practical expertise with cell biology
Programming skills: Matlab, C/C++

  • Le postdoc sera basé à l’UTC, sous la supervision du Prof. Karim El Kirat, du Dr. Tien-Tuan Dao (BMBI laboratory, UMR CNRS-UTC 7338 Biomécanique et Bioingénierie), et du Dr. Pascal Moyal.
  • La date limite pour candidater est le 22 juin 2018.

Si vous êtes intéressé, envoyez, dans un fichiez pdf unique, CV,  lettre de motivation,  lettre de recommandation, ainsi qu’un exemple de publication de journal à karim.el-kirat-chatel@utc.frtien-tuan.dao@utc.fr et pascal.moyal@utc.fr.