344 computer-programmer-"https:" "https:" "UNIS" "https:" Fellowship positions in Singapore
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . The Decarbonisation Programme “Singapore Max-Planck Alliance for the Sustainable
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . The Decarbonisation Programme “Singapore Max-Planck Alliance for the Sustainable
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . The Decarbonisation Programme “Singapore Max-Planck Alliance for the Sustainable
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We are seeking a Research Fellow to lead research on advanced Rydberg atom–based quantum sensing platforms at CQT, NTU. The role involves experimental work on electromagnetic signature detection, developing robust sensing protocols, and delivering solutions for real-world applications. The...
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Application Deadline 10 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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for accurate localization and tracking of 5G network User Equipment (UE) in urban environments. Group website: https://personal.ntu.edu.sg/wptay/ Key Responsibilities: Study 5G protocol and implementation
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to the project. Job Requirements: PhD degree in Computer Science, Electrical and Electronic Engineering, or related field. Min 3 years of relevant experience in computer vision, artificial intelligence, etc