617 engineering-computation-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs in Singapore
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delegated by the Principal Investigator Job Requirements PhD degree in Electronic Engineering, Computer Science, or related field Knowledge of pinching antennas, wireless communications, and machine learning
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expertise in optimisation; Computer Science, with expertise in design and analysis of algorithms and high-performance (GPU) computing; Industrial and Systems Engineering, with AI in process mapping and Conops
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School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic
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motivated Research Fellow to join our interdisciplinary team. You'll be working on a cutting-edge program involving a +10-country arbovirus genomic surveillance initiative focused on dengue and Zika viruses
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Job Description Job Alerts Link Apply now Job Title: Research Associate/Fellow (Programme Manager) Posting Start Date: 17/07/2025 Job Description: Job Description An exciting opportunity has arisen
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intellectual hub and thought leader for research and teaching in international law. Further information about CIL is available at https://cil.nus.edu.sg/ CIL invites applications for the position of Senior
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teaching statements, and at least three letters of recommendation. More information about the university and the department can be found at https://www.nus.edu.sg . Application Materials Required: Submit
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RIE2025. The Laboratory’s objective is to propel Innovation and Technologies commercialisation through NTU’s innovation and NTI’s deep technology. NTI-NTU Corporate Laboratory aligns with Singapore’s
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Job Description Job Alerts Link Apply now Research Fellow (Power Electronics) University-Level Unit: College of Design and Engineering Faculty/Department-Level Unit: Electrical and Computer
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technology (PAT) adds cost, time, and introduction of human error. This project aims to develop a novel, label-free microbial detection method, coupled with machine learning tailored for cleaning validation