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damage mechanisms governing shell failure. The results will lead to the development of predictive design rules and digital tools to support high-throughput investment casting strategies. In the longer term
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to well-known attack vectors, but also ascertain their specific attributes do not introduce new types of security flaws. Evaluating the resistance of symmetric key primitives to mathematical attacks is what
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models that bridge the gap between laboratory settings and natural environments. It fits with Sustainable Transitions axe of the TIRIS program (https://anr.fr/ProjetIA-22-EXES-0015 ), addressing challenges
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and supramolecular chemistry, physical and analytical chemistry, materials design, and photonics. Five teams are affiliated with the CNRS National Institute of Chemistry (INC), while the sixth is part
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. This PhD project in Natural Language Processing aims to design generative models capable of automatically simplifying texts into Easy-to-Read and Understand language while preserving their discourse
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on the resilience and adaptation of forest socio-ecological systems. Innovating in Territorial Foresight by Incorporating Long-Term Forest Landscape Dynamics in a Participatory Science Approach (Living Lab) Where
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ELiA (Engineering for Life Sciences & Applications) research team at LAAS-CNRS, which develops innovative technologies at the interface of microphysiological systems, biomaterials, microfabrication and
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remaining biologically interpretable? The PhD candidate will design and apply integrative computational workflows using methods such as multi-omics integration, spatial modelling, representation learning
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association with the ITER project; • Astrochemistry and exobiology, to simulate various environments and to prepare for future space missions and observations; • Surface sciences and innovative materials
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controlled group experimental tasks. The candidate will participate in the design, implementation, and analysis of behavioral experiments combined with non-invasive neuroimaging measurements, with