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]. Reduced Order Modeling (ROM) and Data Assimilation (DA) are key tools for designing efficient monitoring solutions. In preparation for an upcoming ANR-funded project starting in 2026, we aim to develop a
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neuroscience, particularly in the study of the mechanisms, role and pharmacology of ionotropic glutamate receptors (iGluRs). It is based on the development of a multi-scale approach combining protein engineering
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the results of numerical simulations (ideliazed and in a cosmological context) with analytical models that they will develop, in order to understand the detailed physics of bar formation and evolution in
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within the Faculty. Along with the disciplinary approach a very ambitious interdisciplinary research culture has been developed. The faculty's research and teaching focuses on social, economic, political
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also participate in the production of post-ERC deliverables, in particular through the scholarly valorization of the project by contributing to the publication of a monograph on the development
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-individual differences through a comparative approach in order to identify key, fundamental elements that are conserved or converge during evolution. To this end, we specifically intend to study the strategies
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Description The successful candidate will join the MegaGauss team at Laboratoire Nationale des Chmpas magnetique Intences (LNCMI). He/she will develop the instrumentation to study condensed matter systems under
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associated with the CNRS, the French National Centre for Scientific Research. The thesis will be carried out in close collaboration with the research and development department of Focal JMlab, a leading French
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the context of crisis management. Particular attention will be paid to estimating the dynamics of groups of individuals. The research will seek to develop and evaluate physics-based learning (PINN) approaches
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, more efficient and sustainable processes. The PhD student will be assigned to the PRIMO (Reaction Process Intensification, Membranes and Optimisation) research area, which develops tools and