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Fellow (RF) to join their team in the field of sustainable catalysis and enzyme design. The role focuses on developing novel biocatalysts and synthetic pathways through cutting-edge research
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, including deep neural networks and physics-informed neural networks, to analyse large datasets from gyrokinetic and fluid simulations of plasma turbulence Develop and train reduced-order models that capture
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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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the research and support team that conducts clinical trials and manages day-to-day operations. Key Responsibilities Clinical Trial Innovation and Excellence Development of innovative clinical trial
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imaging) and development of novel imaging techniques (nuclear and molecular imaging, computational imaging, etc). With the formation of the National University Health System (NUHS), both clinical and
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hydro-thermal conditions. Key Responsibilities: Design, develop, and set up experimental systems for novel fracturing and faulting modeling Conduct advanced numerical modeling and inversion studies
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Research Fellow to join our interdisciplinary project on urban heat island (UHI) mitigation through a novel nowcasting system. Supported by NRF, the project aims to develop a microclimate nowcasting platform
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, teaching, and student engagement in AI-for-Science courses and seminars. - Support the development and deployment of AI-driven tools for High-Performance Computing (HPC) applications. Qualifications
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. Publish research findings in top-tier IEEE journals and present at leading conferences. Collaborate with the team to develop innovative solutions for improving the reliability of power electronic devices
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contribute to the overall development of the team and project. Additional responsibilities include supporting team operations and taking on related tasks as needed. Job Requirements: Preferably PhD in computer