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fundamental questions in statistical physics. The work is primarily numerical, and we seek candidates with experience in particle-based simulations (e.g., molecular dynamics) and a strong interest in large
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demonstrated that this transition involves mechanochemical dynamics in gastruloids, in vitro models derived from embryonic stem cells (Hashmi et al., eLife 2022; Gsell & Tlili et al., Nature Physics 2025
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energy consumption. The demonstration of high-power energy recovery (exceeding 1 MW), particularly for high currents, remains a major challenge. It requires detailed simulations of beam dynamics o study
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state-of-the-art statistical and mathematical methodology to improve understanding of epidemic dynamics and control. They will work on one of the new projects starting in the Unit, including i) analysing
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skills : Interdisciplinary collaboration (fluid dynamics + acoustics + scientific computing) Analytical thinking Scientific curiosity Resilience (handling failed simulations/experiments) Initiative
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monitoring, or delayed interventions. These losses have a significant impact on farm profitability and also raise important animal wel- fare concerns. In this context, the Num’Agnel project fits into a dynamic
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- University of Rennes), France, is offering a postdoctoral research position to study microbial host - virus interactions in wetland soils. ECOBIO offers a stimulating and dynamic research environment, as
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and isotope-based approaches, and will benefit from access to state-of-the-art analytical platforms (LC-MS/MS, Orbitrap HRMS, IRMS). The project is embedded in a dynamic research environment addressing
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Post-doctoral position (M/F) for testing drought-based BEF relationships at CEFE Montpellier, France
with a new meta-model built from complementary process-based models of forest dynamics and functioning, recently published (Postic et al. 2025). More specifically, the model is built on the coupling
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on simulating nanoalloy structures to create a database for materials characterization. The main tasks include running molecular dynamics and Monte Carlo simulations to model nanoalloys under various