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structure of the resulting supracrystals plays a key role in determining their macroscopic properties, and hence their suitability for technological application as e.g. catalysts, sensors, or photonic
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initiatives, the French Mineral Resources Inventory, and European research projects on new quantum gravimetric sensors. In these projects, as well as in future initiatives, you will be involved from
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role in intracellular transport. As such, they play an important role in nuclear positioning. Our team is studying, in a developmental context, how multiple microtubule networks cooperate to position
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) — to join our team. You will be directly involved in developing and optimizing ion beam processes to improve device performance in MRAM and magnetic sensor applications. Beyond R&D, we are looking for a
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terms of implant geometry and internal architecture. Indeed, a new generation of medicinal implants will incorporate an internal macroporous network capable of containing an active principle, dedicated
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topological textures. A wide range of applied functionalities could be considered: terahertz sources, unconventional computing and AI, security components, telecommunications, sensors, memories etc.
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to perceive their environment because this sensor can produce precise depth measurement at a high density. LiDARs measurements are generally sparse, mainly geometric and lacks semantic information. Therefore
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: Neuroscience Project Summary This project proposes to explore how to equip artificial neural networks with the ability to efficiently unlearn, by applying neuroscientific insights from the same ability of mammal
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at the Doctoral School of Chemistry at the Université de Bordeaux. Initially, the candidate will be hired for 13.5 months (max.) as a Doctoral Candidate (DC) within the European Doctoral Network MultiSMART. The PhD
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learning in neural networks within the ANR-funded MAPLE project, under the supervision of Dr. Bruno Loureiro . Funding is available for two years. Responsibilities Conduct research on the mathematical