Post-doc Position in population dynamics, PDE/PBPK models
Listed on 2025-10-08
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Research/Development
Research Scientist, Biology, Biomedical Science, Postdoctoral Research Fellow
Postdoc Position in Mathematical and Computational Biology
Final date to receive applications: 31 Oct 2024
Location: INRIA Saclay
The postdoc position is open in the framework of two projects led by MUSCA, the OVOPAUSE ANR project and the OVOTOX FC3R project, gathering researchers from different institutions and scientific backgrounds (applied mathematics, developmental and reproductive biology, ecotoxicology).
This position offers an opportunity to be involved in a strongly interdisciplinary consortium and to strengthen experience in mathematical and computational biology by working on the coupling of population dynamics models with compartmental pharmacokinetic models. The contract is expected to start in the beginning of year 2025, from January to March.
The impact of micropollutants on living organisms is a major concern, whether at the individual or population level. Fish are particularly exposed to these micro-pollutants and endocrine disruptors (ED), constituting sentinel species for detecting and understanding the multiscale reprotoxic effects of EDs and their adverse outcomes on reproductive fitness.
The postdoc work will focus on enriching a qAOP model developed by the hosting team and collaborators. The first task will involve coupling a size-structured (PDE-based) mechanistic model of oogenesis with a physiologically-based pharmacokinetic (compartmental ODE-based) model representing the hormonal dynamics within the reproductive axis. The second task will be to design appropriate numerical schemes to simulate the model in both physiological and toxicological situations (exposure to EDs) and perform an extensive parameter estimation and sensitivity/identifiability analysis.
If time allows, and according to the interest of the post-doctoral candidate, a qualitative analysis of the coupled model will be conducted to explore the structural influence of parameters on model behavior and the related impact on reproductive function.
References:
G. Ballif,
F. Clément and R. Yvinec, Nonlinear compartmental modeling to monitor ovarian follicle population dynamics on the whole lifespan, J. Math. Biol., 89:9, 2024.
C. Bonnet, K. Chahour,
F. Clément, M. Postel, R. Yvinec. Multiscale population dynamics in reproductive biology: singular perturbation reduction in deterministic and stochastic models. ESAIM Proc. Surveys, 67: 72-99, 2020.
R.B. Conolly, et al. Quantitative adverse outcome pathways and their application to predictive toxicology. Environ. Sci. Technol., 51(8):4661–4672, 2017.
T.
-K. Ly, et al. Imazalil and prochloraz toxicokinetics in fish probed by a physiologically based kinetic (PBK) model, 04 December 2023 (preprint available 03/rs.3.rs-3580808)
A. Pery, et al. A Physiologically - Based Toxicokinetic Model for the Zebrafish Danio rerio. Environ. Sci. Technol., 55848: 781-790, 2014.
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