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collaboration with Japanese university partners for integrated macro- to micro-scale analysis. As part of understanding the ecosystem services that are involved in Singapore, the successful candidate will also be
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causal inference in heterogeneous data environments, addressing the challenge of enabling trustworthy causal analysis across distributed datasets while preserving privacy. The successful candidate will be
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, heat transfer, and building energy performance evaluation. Experience of test bed setup development, testing & commissioning, and performance analysis. Knowledge of industrial protocols, sensors, and
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, Cyber Physical Systems security, security analytics, digital forensics, vulnerability assessment, malware analysis and defence, Privacy-enhancing technologies, AI security. Computer Science and Software
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Device Fabrication process, reliability analysis, process characterization, Semiconductor packaging, assembly and testing. System Engineering: System and Project Management, Model Based System Engineering
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management. Demonstrated expertise in one or more areas of sustainability measurement and management, such as life cycle analysis, circular economy, sustainability road mapping (e.g., decarbonisation for net
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subjects. Maintain accurate records of interviews, safeguarding the confidentiality of subjects, as necessary. Perform computational modelling and analysis of the neuroimaging and behavioural data, with
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security, digital twins, and block chains. Hands on experience in commercial digital supply chain solutioning projects with both hardware and software elements. Experience in digital supply chain related
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causal analysis across distributed datasets while preserving privacy. The successful candidate will be responsible for the end-to-end investigation of novel federated learning strategies for causal
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battery fire combustion and spread. Strong skills in turbulence modelling, CFD mesh generation in complex 3D geometries. Proficient in handling large data sets and the ability to analysis and interpret