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highly skilled Postdoctoral Fellow with a proven dual‑mode research profile capable of independently performing laboratory experiments and coding predictive AI models in Python to forecast biomaterial
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models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly
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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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, expand your network, and shape the future of AI-enabled scientific discovery. Why Apply NTU is a world-leading research-intensive university consistently ranked among the best globally. In the 2025-26 U.S
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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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application to software analysis, fuzz testing, automated program repair, and security reasoning. Experience in system-level security, protocol robustness, smart contract code auditing, cross chain behavior
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language models (LLMs) and their application to software analysis, automated program repair, and security reasoning. Experience in system-level security, protocol robustness, smart contract code auditing
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autonomous robots or network localization. Experienced on multi-agent systems, trajectory planning, learning or control. Good publication records and demonstrable intellectual excellence. Familiar with various
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in mathematical modelling methods used to analyse infectious diseases • Strong programming skills, ideally with experience in R/R packages and GitHub as a collaborative coding environment • An ability
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-difference, PSM) o Social Network Analysis/ Structural Equation Modelling (SEM)/Multilevel Modelling (MLM) • Willingness to conduct fieldwork in rural or low-resource settings (required travel for up to 1 week