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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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distribution network optimization and flexibility planning using distributed energy resources. The successful candidate will develop and implement a flexibility planning tool for electrical distribution grids
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Artificial Intelligence (AI) services in Internet of Things (IoT) networks, where latency and timeliness are paramount. The successful candidate will be responsible for the end-to-end investigation of novel
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functional networks in healthy developing and aging brain and symptoms-related changes in diseases such as neurodegenerative disorders and psychosis. Computational and machine learning methods are developed
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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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simulation frameworks (e.g., NetSquid, QuTiP) Demonstrated expertise in modelling and simulation, particularly in co-simulation of complex systems (e.g., quantum optics, communication networks, or cyber
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timely climate information can strengthen community networks and encourage adaptive behaviors in a warming urban environment. Qualifications Key Responsibilities Conduct multi-scale multi-physics numerical
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project focused on “Learning high dimensional dynamical systems on dynamical networks”. There is ample room for exploring sub-topics depending on the interest of the candidate. The focus will be on deriving
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, master's or Ph.D. in Electrical and Computer Engineering, Computer Science or related field. Solid understanding of wireless communications and networking, including 5G systems, open RAN, and network slicing
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, master's or Ph.D. in Electrical and Computer Engineering, Computer Science or related field. Solid understanding of wireless communications and networking, including 5G systems, open RAN, and network slicing