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investigate out-of-equilibrium dynamics in high-dimensional disordered systems (including models relevant to machine learning and optimization) by characterizing the fixed points (metastable states, attractors
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of studying and optimizing the microstructural and mechanical properties of granular materials bonded by a solidified foam, within the framework of the ANR project BONDINGFOAM. This mission is structured around
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interaction research. The postdoctoral researcher will contribute to the design and optimization of biomaterials, their biological characterization and the functional validation of the developed models
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mobile base, an arm, a gripper, a learned policy, a safety module). Each agent runs its own specialized solver and is coordinated to a common, dynamically feasible plan through distributed optimization and
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tempering [1]. The enrichment step remains to be studied specifically Objectives of the postdoc will be to study, by modeling and advanced characterization techniques, carburizing of a high-alloyed tool steel
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, reactivity, and regulatory compliance for a TRL 7 demonstration in quasi-operational conditions, such as urban delivery or automated inspection - Algorithmic Foundations: Design optimization-based trajectory
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will explore (Gd, Zr, La)-doped HfO₂ as a reference ferroelectric layer and optimize performance (memory window, multilevel writing, endurance) through the fine-tuning of thin films (interlayers
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, CeRh2Si2, TbB4 etc.) near metamagnetic transitions and unconventional superconducting phases. Within step 1, magnetization probes will be developed, tested and compared before choosing the most optimal