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of embedded machine learning, neuromorphic hardware and deep learning accelerators. Want to get more information? Click here. What you will do The complete design and implementation of analog circuits including
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of embedded machine learning, neuromorphic hardware and deep learning accelerators. Want to get more information? Click here. What you will do Design analog and mixed-signal circuits, such as data converters
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of IC design with a focus on new architectures of CMOS backplanes. What you will do Developing, implementing and experimentally testing concepts for CMOS backplanes for OLED microdisplays Designing analog
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of this PhD is to use optical flow visualisation and measurement techniques to study droplet impact under icing conditions to improve icing codes that aid in design and development of ice detection and
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flow visualisation and measurement techniques to study droplet impact under icing conditions to improve icing codes that aid in design and development of ice detection and mitigation system
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groups. Professor Bram Nauta’s Integrated Circuit Design (ICD) group focuses on various aspects of analog and Radio Frequency (RF) Integrated Circuits (IC). The group's motto is “fundamental solutions
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reuse of energy systems analysis processes. In line with FAIR and Linked Open Data principles, you will design interfaces that enable the smooth processing of big data in the context of scientific, AI
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. Background in Digital/Mixed-Signal Integrated Circuit (IC) design and Low power IC design. Interest in neuromorphic computing and curiosity about the workings of the brain. Important skills such as leadership
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design (sub)components of digital circuits. A focus will be on the use and development of automated and innovative design tools. You'll use access to cutting-edge, CMOS-based IC technologies for your
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within in the field of high-speed integrated circuit (IC) design with a focus on: • Electro/optical high-speed analog and mixed-signal IC design • Millimeter-wave efficient and linear power amplifier