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into the co-design of ultra-low-power AI hardware architectures tailored for edge computing applications. The research aims to develop neuromorphic processors, FPGA/ASIC-based AI accelerators, and intelligent
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interested in PQC, FPGA/processor design, and aerospace cybersecurity. The candidate will join vibrant doctoral community, benefiting from world-class research facilities in the modern Dalton Building. Project
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(e.g. quantum logics and memories, sources and detectors, etc), CMOS or FPGA technology, micro/nanofabrication, low noise high-frequency characterisation and measurements. C2 Knowledge of using high
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