Highly creative candidates with a track record of peer-reviewed publications and ability to collaborate within an interdisciplinary team are sought for two 2-year positions:
Position I:
- Strong quantitative Biology/Physics background- Experimental autonomy with preferable previous experience in mol. biology/microscopy/robotics
- Basic computer programming; good notion of statistics
- Motivation to work in a close collaboration with computational biologists
Contact: Dr. Ariel Lindner – ariel.lindner@inserm.fr – www.necker.fr/tamara
Evolutionary Systems Biology – INSERM U1001, Centre for Research and Interdisciplinarity (CRI), Faculty of Medicine, Paris Descartes U., Paris 14, France
Position II:
- Biophysics or Biomathematics background with expertise in dynamical systems modeling- Expertise in the modeling of intracellular biochemical reaction networks
- Operational knowledge of a scientific programming language/framework (Matlab, C++, python…)
- Motivation to work in a close collaboration with experimental biologists
Contact: Dr .Hugues Berry – hugues.berry@inria.fr – www.inrialpes.fr/Berry/
The French National Institute for Research in Computer Science and Control (INRIA), University of Lyon, Lyon, France.
Synopsis of the project
The project aims at understanding one of the key phenomena underlying cellular degeneracy, protein aggregation and further extent our knowledge on diverse mechanisms implicated in ageing. We have recently demonstrated that (i) E. coli ages (ii) the aging process is linked to accumulation of damaged aggregated proteins, a hallmark of human aging and causal to numerous aging-related (i.e., neurodegenerative diseases as Alzheimer and Parkinson). In essence, using both quantitative experimental and theoretical approaches, the project tackles the spatial-temporal dynamics of in vivo protein aggregation at two scales: (i) the aggregation process per se and, (ii) machinery governing the process. Protein aggregation in vivo will be followed experimentally coupled with a diffusion-aggregation-based modeling approach. Furthermore, the dynamic changes with age of the machinery (chaperones, proteases) governing protein folding quality will be considered as a paradigm of aging and addressed both experimentally and by modeling of the underlying machinery interactions. To realize its objectives, the project intimately blends innovative experimental approaches (nanofabrication and microfluidics, image analysis and quantitative fluorescence microscopy) with mathematical simulation & modeling (individual-based simulations, continuous dynamical systems).The work will be carried out between the labs of Dr. Ariel Lindner (coordinator) of the Evolutionary Systems Biology Group (headed by Dr. F. Taddei; INSERM) and the lab of Dr. Hugues Berry (Computational Biology, INRIA) in collaboration with Profs. Yong Chen & Damien Baigl of the Chemistry Dept, Ecole Normale Superieure & Lionel Moisan (Applied Math, Paris Descartes University) as part of a project financed by the French National Research Agency.