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architectures, neuromorphic computing, hardware security, and energy-efficient computer systems. The candidate will become part of the QuNeCo project, an ambitious collaboration between universities in
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, modelling, prototyping and experimental validation. The best fit is A candidate interested in high-frequency measurement techniques, sensor hardware development and precision experimentation. PhD 2
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will develop an advanced emulation framework, potentially FPGA-accelerated, for self-aware neuromorphic system-on-chip (SoC) architectures, enabling fast and accurate exploration of emerging hardware and
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. The project offers a unique opportunity to perform cutting-edge research that combines hardware development, signal processing, AI-driven image analysis, and clinical translation.
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. You can also attend – or take part in – the fascinating internal information session ‘Naturalis Draait Door’. Nice extras such as discounts on software and hardware for private use, collective health
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– the fascinating internal information session Naturalis Draait Door. Nice extras such as discounts on software and hardware for private use, collective health insurance plans, and a bicycle scheme. You’ll also enjoy
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of Technology and QuTech. The goal is to further develop fault-tolerant architectures for photonic platforms based on fusion-based and measurement-based computation, addressing photon loss and other hardware