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for Infrastructure Inspections and Interactions 2) Real-time processing, and 3) optimized power electronics. The section currently has 15 academics, including professors, PhD students, and engineers, to support
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for seizure detection. These algorithms will be implemented on a spiking neural network (SNN) processing unit deployed on FPGA and custom-designed chips with an integrated detection mechanism. Research area and
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state-of-the-art lab facilities. You will closely collaborate with other PhD students working on blue-light TFLN integrated photonics platform. The project will among others consist of the following tasks
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