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digital in-memory computing circuits for on-chip AI inference, spanning both full-custom design and RTL-based flows through synthesis and place-and-route to tape-out Verify and characterise your designs
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University, we will help you grow a competitive and international career profile. Your experience and ambitions We welcome candidates with a Master's degree in (computational) chemistry, physics, or materials
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