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-duration energy storage. The approach is to use hierarchical structures, i.e. complex material layers that can be optimized to specific battery chemistries and flow phenomena from the microscale up
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the restoration of peatland and coastal ecosystems? As one of the two 4-year PhD positions in the NWO funded project ‘Bioprime: applying biomimicry to produce restoration designs for multiple ecosystems’ at Utrecht
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contribute to the development of digital twins of propellers and explore collective learning approaches, where multiple propellers cooperate for optimal flight control. The PhD will be carried out in joint
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‘Bioprime: applying biomimicry to produce restoration designs for multiple ecosystems’ at Utrecht University and the Royal Netherlands Institute for Sea Research, you will create ecosystem-specific, mass
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PostDocs, and several Ph.D. students. More in general, research at LAAS-CNRS spans robotics, optimization, control, telecommunications, and nano-systems. The robotics department at LAAS-CNRS counts more than
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is to use hierarchical structures, i.e. complex material layers that can be optimized to specific battery chemistries and flow phenomena from the microscale up. The developed technologies will be
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engineered for the reporting, lineage tracing, or conditional deletion of defined dendritic cell subsets, providing powerful genetic tools for dissecting cell-specific roles in vivo. Using and optimizing
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material layers that can be optimized to specific battery chemistries and flow phenomena from the microscale up. The developed technologies will be validated in half-cells and full working batteries
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affordable and durable long-duration energy storage. The approach is to use hierarchical structures, i.e. complex material layers that can be optimized to specific battery chemistries and flow phenomena from
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) and their effect on the sustainability of AI. This can be at the level of developing novel algorithms, training, learning and prompting paradigms, or hardware optimization techniques that can result in