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based processors, AI accelerators, and open-source hardware toolchains. The Research Fellow contributes to the University’s mission by conducting high-impact research, developing innovative hardware
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particular emphasis on RISC-V based processors, AI accelerators, and open-source hardware toolchains. The Senior Research Fellow contributes to the University’s mission by conducting high-impact research
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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algorithm-hardware co-design to enable efficient and accurate deployment of AI algorithms on robotic, edge, and heterogeneous computing platforms. Develop methods for efficient deployment of AI models
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Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new
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environment incorporating signal propagation. Develop signal processing and machine learning algorithms and methods for wireless localization and tracking of UEs in 5G networks. Perform software/hardware
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programme at the intersection of optics, electrical engineering, artificial intelligence, and experimental biology, with the aim of building closed-loop, autonomous experimental platforms that accelerate
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and motivated candidates to work on developing closed loop robotics hardware and software. Together with a multi-disciplinary team of electronics/electrical engineers, you will be part of an exciting
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on secure and open-source processor architectures. The incumbent will undertake advanced research on the design, implementation, and integration of cryptographic hardware accelerators within the RISC-V CVA6
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required to substantially advance a research programme on single‑photon, label‑free optical imaging by integrating in‑house single‑photon detectors with a scanning microscope platform. The role will build