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systems capable of selecting and combining models of different complexity, in order to better represent groundwater dynamics and improve large-scale predictions under climate change. Objective — The PhD
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collaborative project bringing together UCCS, LASIRE, IRCELYON, and Synchrotron SOLEIL. This PhD project, based at the University of Lille within the UCCS laboratory, focuses on the dynamic behavior
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for its complexity and the rich physical phenomena it reveals. Coupling these nonlinear dynamics with a lattice structure, where light can tunnel between sites, enables the exploration of collective effects
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energy materials—and is equipped with state-of-the-art research facilities. Embedded in a dynamic network of industrial and academic collaborations, SIMaP provides an ideal environment for ambitious
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be compared with structural models and diffusion coefficients for Li+ ions calculated by ab initio molecular dynamics. Hosts and research infrastructure: This project is funded by ANR, French research
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observations. The GLYCOCALYX Network will train 15 PhD Fellows in physics, chemistry and biology methods and concepts required to resolve the dynamic organisation of glycocalyces. The project will establish a
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are offering an 18-month postdoctoral contract (renewable). The main scientific objectives and associated tasks of the position aim to improve understanding of carbon dynamics in soil-plant continuum reservoirs
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climate change is becoming more visible and impressive every year, with serious consequences for people and the planet on a global scale, all sectors (transport, construction, agriculture, industry, etc
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to structured programming in C++ and Python - knowledge of linux / unix operating system - fluent knowledge of spoken and written English - fundamental knowlegde of machine learning (and statistics) - good level