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This PhD at Cranfield University explores the development of resilient, AI-enabled electronic systems capable of detecting faults and autonomously recovering from failures in real time. The project
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materials such as semiconductor nanowires, graphene, or two-dimensional semiconductors. They will have experience with designing, fabricating and characterising arrays of devices such as integrated circuits
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holder will be required to have practical experience in high-density microelectrode pattern on soft substrates with good understanding of advanced microfabrication processes, electrode substrate
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solutions. (months 1-6) Neuromorphic Computing Development: Collaborate with Professor Andrew Flewitt research lab to design neuromorphic circuits using flexible TFT-based logic incorporating spiking neurons