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for teaching and learning • Conduct evaluation and testing of AI and video tools/applications for teaching and learning purposes. • Coordinate cloud assessments, pilot run and collaborate with NUS IT for
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activities. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Applied Mathematics or equivalent. Strong software background in software engineering and cloud computing systems. Strong
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management methodologies. Knowledge of cloud platforms (e.g., AWS, Azure) is a plus. Fresh graduates with a keen interest in AI-assisted development and project management are welcome to apply. Excellent
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and a strong commitment to Software Engineering best practices, writing code that is clean, modular, and maintainable. • MLOps & Cloud Proficiency: Fluent in the essential MLOps toolkit, including Git
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genomics and functional interpretation of genetic variants. Proficiency in Python, R, or other bioinformatics languages. Knowledge of cloud computing, and high-performance computing (HPC) environments
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engineering, artificial intelligence and cybersecurity. In the area of Cybersecurity, SCIS has a Centre on Security, Mobile Applications and Cryptography that conducts research into mobile device, cloud, and
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with server hardware, virtualisation, and cloud platforms is valued. Knowledge Required Security Frameworks: ISO 27001, ISO 22301, CTM, NIST, CIS controls, and their application in operational
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engineering, artificial intelligence and cybersecurity. In the area of Cybersecurity, SCIS has a Centre on Security, Mobile Applications and Cryptography that conducts research into mobile device, cloud, and