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of dissipation in magnonic systems. Develop theoretical models to describe and optimize the control of magnon dissipation via feedback. Collaborate with the experimental team to validate these models and propose
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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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-dimensional scaffolds using FDM 3D printing for cell culture applications. Develop and optimize biomimetic materials with controlled mechanical and biochemical properties. Functionalize scaffolds with
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Controlling and manipulating quantum information using advanced nanoelectronic technologies represents a major challenge currently undertaken by CEA-LETI and its partners. A key objective of this
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simulate a refined batch of synthetic data. For each batch, the postdoc will estimate Bayes optimal error, an important guide for realistic goals for deep learning. The first batch of synthetic data will be
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this limitation by developing a unique platform that combines high-intensity terahertz pulses with ultra-cold environments. This innovative approach will enable researchers to observe and control the motion
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
partners. A genuine appetite for turning design-optimization and simulation expertise into working control software for a physical robotic system, rigor in bridging model and hardware validation, and
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computational tools (mainly in-house LBM code) for multiphysics simulations involving: heat transfer multiphase flows sorption kinetics The overall objective is to improve the understanding and optimization
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generation of MOF water adsorbents with optimal indoor air humidity control performance by leveraging state-of- the-art high-throughput (HT) computational screening based on Machine-Learning Interatomic
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cartilage and intervertebral discs under biomimetic loading conditions, coupled with advanced imaging systems. - activities: Adapt and optimize the SOLANO miniaturized hexapod robot (Symétrie) for high