Candidate: We are looking for a candidate motivated by systems biology and with strong background in mathematical modelling and computer science. Previous training in biology is an advantage.
To apply, please send an e-mail to email@example.com with a CV and the names of 3 referees before June 30.
Thesis: Studying lipid metabolism of Plasmodium is of great interest as its normal functioning is essential for the survival of the parasite. Targeting this metabolism with drugs represents a new pharmaceutical approach against malaria. Plasmodium is well suited for systems biology studies because during its life cycle this parasite activates a rare diversity of metabolic pathways. Reconstructing synthesis pathways of lipid metabolism in Plasmodium is crucial for understanding the biology of this agent of disease. The objective of this thesis is to develop a methodology for constructing dynamic mixed metabolic and genetic networks by using heterogeneous data. This methodology will be applied to transcriptomic and metabolomic data in order to build a model for lipid metabolism in Plasmodium. This model will be used for /in silico/ studies of the life cycle and of the defences against perturbations of the parasite.
Team: The phD Student will join the new team `Biological Physics and Systems Biology` in the lab DIMNP (UMR 5235) in Montpellier. Our team develops physical, mathematical and computer science approaches for the understanding of the functioning of biological systems. At the centre of our approaches is the multi-scale modelling of the biological processes by using statistical physics, dynamical systems and stochastic processes techniques.