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engineering, artificial intelligence, advanced communications and cybersecurity capabilities for future urban mobility applications. We aim to develop innovative solutions that can be commercialized
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engineering, artificial intelligence, advanced communications and cybersecurity capabilities for future urban mobility applications. We aim to develop innovative solutions that can be commercialized
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initiative in global health. This implementation science project focuses on designing and evaluating public health interventions that promote behaviour change, strengthen community resilience, and build local
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, MAVLink). Hands-on experience with communication systems (e.g., Wi-Fi mesh, 4G/5G, UWB). Familiarity with swarm algorithms and real-time control systems is highly desirable. Strong programming skills in C
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based in Singapore and will provide opportunities to deeply understand the challenges of building an advanced quantum communication network. The successful candidates will be involved in all stages
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medical centre. The School embodies a strategic partnership between Duke University and National University of Singapore. It works closely with the Singapore Health Services (SingHealth) cluster, a network
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at least 5 years of working experience, including project management and team leadership. c) Exhibit excellent communication skills and be capable of managing a network of stakeholders. d) Be
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systematic perturbation approaches. Systems Biology: Integrate multi-omic datasets to map the molecular networks influenced by mito-MPs. Machine Learning: Apply cutting-edge protein language models and AI
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comparable estimates of health loss due to diseases, injuries, and risk factors worldwide. This role offers an opportunity to be part of a global network advancing data-driven health policy and research impact
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research proposals; Monitor and keep up to date the latest technology and trend in related areas; Organize, and assist technical workshops, networking events and conferences (local and overseas