537 computer-programmer-"https:"-"https:"-"UNIS"-"https:"-"https:"-"https:"-"UNIV" positions in Singapore
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Job Description Apply now Job Title: Full-Stack Developer for AI Singapore (Talent) Posting Start Date: 16/01/2026 Job Description AI Singapore (AISG) is a national AI programme launched by
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of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. To support the new research project titled: Singapore Parkinson's Disease Programme (SPARKLE) - Theme 5: Neurotech
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graduate programmes including continuing education from end-to-end administration. This includes managing admissions, programme management, student administration, and other related areas. This role is
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Senior Programme Manager / Programme Manager, AI4S Programme The National Research Foundation (NRF) is a department within the Prime Minister's Office, and we set the national direction for research
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prospective candidates, providing guidance on programme value proposition, admissions criteria and timelines, scholarships and financing, and career outcomes. Plan and deliver recruitment activities including
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industry and international partners. For more details, please view https://www.ntu.edu.sg/atmri . We are looking for a Research Fellow to conduct research on air traffic management (ATM) algorithms and data
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to join the Division of Academic Computing & Information Services (ACIS) as an Analyst Programmer/Systems Analyst (2-year contract). This role is instrumental in the implementation of the Student Management
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: Collect, scrape, and clean large datasets from online platforms and media sources. Conduct computational analysis of disinformation and propaganda networks. Develop and apply data visualization techniques
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, collaborations, and research translation activities. Job Requirements: Doctoral degree in Electronic Engineering, Computer Science, or a closely related field Strong research expertise in wireless communications
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Fellow (RF) with an interest in computational biology. The RF will work on a project aiming to understand how to predict the microbial community under environmental pressure and use the insights to develop