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, the CMOS design flow is to be improved while simultaneously being made transparent and verifiable. What you will do We're looking for you to investigate AI methods for digital circuit design. You'll be
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? We invite applications for a PhD position, focusing on the design and implementation of Spiking Neural Networks (SNNs) using CMOS technology. Project Overview This PhD position is part of a
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Job Description Are you passionate about designing ultra-low-power electronics for neural and wearable systems? Do you want to develop custom CMOS circuits that serve as the foundation
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Research Assistant/Associate in Photonics Integration of Graphene and Related Materials (Fixed Term)
, optoelectronics in graphene and related materials, physics of low dimensional systems, plasmonics, near-field optics, CMOS technology and nanofabrication including, e-beam lithography and laser writing, on-chip
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: Solid background in analog/mixed-signal ultra low power CMOS circuit design, including experience with amplifiers, data converters, and bias circuits. Experience with industry-standard EDA tools such as
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Your Job: Explore bio-inspired algorithms through simulation—both numerical and circuit-based—and experiment with existing hardware, including CMOS and memristor circuits. Additionally, will need