1,775 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions in Singapore
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and technical assets that uplift SAIC capability over time. Qualifications Advanced degree in computer science, engineering, data science, or equivalent practical experience. Minimum 5 years in software
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to respondents and clients through regular check-ins and basic counselling support o Liaise effectively with internal and external stakeholders from incident report to resolution, and facilitate
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deployment enabling validation and demonstration of real-world applications. Key Responsibilities: Manage the technical aspects of the project and ensure that the deliverables are delivered on time. Manage
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flows, and build resilient infrastructure that enables smarter decision-making across NUS Enterprise. What You'll Do Design and build APIs and connectors to integrate internal and external systems
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with research teams for budgeting and financial reporting purposes Liaise with internal and external auditors on the grant certification audit & year end audit Mentor, guide and motivate staff Identify
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Project Overview SMART CAMP (Critical Analytics for Manufacturing Personalized-Medicine) is an interdisciplinary research programme in Singapore (CREATE international research campus and innovation
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-Human Potential Translational Research Programme Employee Category: Research Staff Location: Kent Ridge Campus Posted On: 25/03/2026 ▲ Collapse Job Title: Research Assistant (LOVING Project - Human
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used by students, alumni, staff and partners. This role reports to the Head of Tech Business Systems and will work closely with both internal and external stakeholders, and vendors to translate business
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to improve the software engineering process in Continental, especially requirement engineering and testing Conducting the research in combining AI techniques with formal methods techniques (especially program
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for funding agencies and stakeholders. Job Requirements: A PhD degree in Mathematics, Geophysics, Physics, Computer Sciences, or related areas. Strong background in numerical modeling and high-performance