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for manufacturing chiral metal nanoclusters of different sizes, metal compositions and degrees of chirality (intrinsic and induced). The main objective is to use the nanoclusters designed both as multiphoton imaging
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for ensemble measurements as well as single nano-object investigations to uncover the underlying light-harvesting physics. The goal will be to measure the EEE diffusion length via the monitoring of exciton
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networks, ensemble algorithms, and other advanced architectures, the objective will be to accurately predict the state of health (SoH) of batteries in the short, medium, and long term, including under
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multidisciplinary approaches Context and objectives of the PhD project Type IV secretion systems (T4SSs) are bacterial nanomachines responsible for the transfer of conjugative plasmids and the secretion of effectors
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automorphism groups of certain triangulated categories. Artin–Tits groups are classical objects in group theory and remain poorly understood. The categorical approaches we will use were introduced by Khovanov
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for manufacturing chiral metal nanoclusters of different sizes, metal compositions and degrees of chirality (intrinsic and induced). The main objective is to use the nanoclusters designed both as multiphoton imaging
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to locomote towards objectives, remodel their environment or exchange information with their pairs. Self-contracting networks are a good candidate to create artificial soft materials with similar living matter
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
2026). Antoine Boutet , Associate Professor at INSA Lyon. Ulrich Aïvodji , Assistant Professor at ÉTS Montreal. The PhD project will contribute to the core objectives of RAIDAC+, with a particular focus
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performance. A key objective is to examine how different KG embedding techniques can facilitate complex query answering. These techniques vary in their representation spaces and in how they define relational
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value-added materials. Objectives of the PhD The PhD candidate will focus on designing and optimizing green spinning processes for lignin-based fibers, relying exclusively on enzymes and water, avoiding