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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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flow batteries (RFB), enabling 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
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optimal new technologies and transition pathways simultaneously. To holistically evaluate the environmental impacts of processes and energy systems, we develop predictive methods for Life Cycle Assessment
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. • Models of network congestion, and solutions for planning and co-optimizing electricity and heating networks to avoid congestion issues •. Validation of proposed techniques through principled multi-agent
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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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performance, design a reactor to restore DES to its original state before recycling, and investigate utilisation of by-products from the mixed chemistry batteries. For different battery chemistries
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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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-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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flexibility. To fully unlock this potential, we need advanced tools that digitally replicate these networks and support optimized design and data-driven control strategies. As our PhD candidate, you will
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how very different mutations can trigger similar developmental problems. More information can be found on our homepage . Project Summary This PhD project builds upon an ongoing collaboration between