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energy system modelling is a plus; Industrial or collaborative project experience in cloud/edge systems, high-performance computing, or energy-efficient networks is desirable; Fluent spoken and written
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key role in advancing our research agenda on sustainable data canters and energy-aware computing, bridging system-level performance with energy consumption reduction. Key Responsibilities: Lead and
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systems. - Perform preventive maintenance, calibration, and troubleshooting to ensure tool reliability and high uptime. - Work with vendors and service providers for equipment upgrades, repairs, and spare
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trainers and service providers. Competent in data interpretation and impact reporting, using large datasets to monitor programme effectiveness, student satisfaction, and operational performance. Skills
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equipment vendors. The candidate must be capable of performing (or willing to learn) atomic-resolution STEM imaging, and high-quality electron spectroscopy, including data processing and the sharing
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energy systems, build high-fidelity digital virtual models, and realize real-time data interaction and accurate dynamic mapping between physical energy systems and virtual models. Through virtual
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validate system performance under various operating and fault conditions. Collaborate with senior engineers to integrate control systems into high-power high-voltage converter systems. Prepare comprehensive
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smooth delivery of these two self-financing programmes and maintain high service standards. By working with the Programme Director and Dean's Office at the Faculty of Science, the incumbent will manage the
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-up. • Provide guidance and technical support to internal stakeholders in organising alumni events, ensuring high levels of engagement satisfaction. • Perform data imports related to events
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in