245 web-programmer-developer-"https:"-"https:"-"https:"-"U.S" Fellowship positions in Singapore
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, developing robust sensing protocols, and delivering solutions for real-world applications. The successful candidate will join a multidisciplinary team and contribute to publications, project management, and
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-constrained drone platforms. Design custom PCBs for lightweight, low-power drone platforms, including sensor interfaces, power regulation, embedded processors, and communication modules. Develop power-efficient
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high-impact publications. 2-year appointment, with potential for extension subject to performance and fund availability. Responsibilities Develop advanced statistical and machine learning modeling
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to develop novel hygroscopic, moisture activated heating materials that can absorb moisture from ambient air and convert it into thermal energy. The goal is to create a biocompatible, safe, and effective
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to develop novel hygroscopic, moisture activated heating materials that can absorb moisture from ambient air and convert it into thermal energy. The goal is to create a biocompatible, safe, and effective
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techniques will be favorable. Candidate should be working closely with PI to develop research ideas and themes, and also supervise younger PhD students or RA in the lab. Successful candidate will have the
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effects of urban greenery and develop a modelling platform to assess and optimize the cooling benefits of various types and configurations of urban greenery in Singapore Key Responsibilities • Conduct multi
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on carrying out research according to the proposed milestones. Key Responsibilities: The Research Fellow (RF) will work on a project to conduct the research on development of Self-Healing Ductile Cementitious
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of Materials Science and Engineering at National University of Singapore (NUS). With a strong focus on industrial projects, we are developing our exciting technologies beyond the lab scale. As a Research Fellow
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characterization of integrated memristor devices and systems. • Develop algorithms and system-level integration strategies to harness the capabilities of AI accelerator for machine learning and deep learning