540 computer-programmer-"https:"-"https:"-"UNIS"-"https:"-"https:"-"https:"-"UNIV" positions in Singapore
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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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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Job Description Job Alerts Link Apply now Job Title: Senior Research Scientist (Computational Electromagnetics (CEM)) Posting Start Date: 27/10/2025 Job Description: Job Description Applicants
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (Health Informatics for PRECISE-SG100K) Posting Start Date: 26/11/2025 Job Description: Job Description Research Fellow (Health
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research papers in top-tier journals and conferences Job Requirements: Bachelor’s degree in Electrical and Computer Engineering or Computer Science Strong publication record with papers accepted/published in
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are seeking a Research Associate to develop a high-fidelity Artificial Intelligence (AI) framework for modeling
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Job Description Job Alerts Link Apply now Job Title: Teaching Assistant (Electrical and Computer Engineering) Posting Start Date: 11/11/2025 Job Description: Job Description The Department
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conferences and journals. To offer assistance to any students involved in the project. To collaborate with industrial and academic partners. To perform any other duties related to the research program. Job
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AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI). The programme office is hosted by
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Science, Information Technology, Engineering, or a related discipline. Experience: Minimum of 3 years in software development and IT project management. Domain Knowledge: Strong understanding of university-level programme