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Singapore’s AI-for-Science ecosystem. The candidate is expected to conduct the following research works Develop and validate finite element model of protonic ceramic electrolysers (PCECs) Develop generative AI
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infrastructure/system operations in School of Chemistry, Chemical Engineering and Biotechnology (CCEB) Ensure that all program and department operations run seamlessly. Manage the implementation of infrastructure
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to SAIC engineering teams, support real-world project selection for skills deepening, and enable professional certification readiness. SAIC is a unit within the Digital and Intelligence Service, dedicated
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technologies. As a part of the DiSTAP program we will develop new sensors for crop management and deepen our understanding of plant biology. DiSTAP is one of the five Interdisciplinary Research Groups (IRGs
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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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systems for versioned data storage, documentation, and sharing of large scientific datasets Support compliance with open science and reproducibility best practices Experience developing tablet-based user
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to the development and operationalisation of an AI Governance Framework. SAIC is a unit within the Digital and Intelligence Service, dedicated to addressing SAF's operational data science challenges and
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challenges. The Programme in Cancer & Stem Cell Biology (CSCB) is one of the Signature Research Programmes in Duke-NUS. The Programme is dedicated to advancing deep biological understanding of cancer and stem
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Singapore’s AI-for-Science ecosystem. Key Responsibilities: The candidate is expected to conduct the following research works Develop and implement the "AI+Physics" discrepancy modeling framework to predict
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Management, and escalate unresolved at project team level. Requirements: Degree in Computer Science, Computer Engineering, or equivalent. Certified Project Manager, either CITPM or PMP certified, with at least