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Investigator (PI) of multi-country / multi-centre study in the overall administration and coordination of large research grants housed in the Signature Research Programme in Health Services and Systems Research
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big data technologies (e.g., Hadoop, Spark). Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud). Familiarity with data governance and compliance standards. Familiarity with CPU/GPU
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related activities. Contribute to project-specific technology scan and review reporting. Contribute to research design, data collection and statistical analyses. Contribute to software development
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experience in Azure Data services, preferably Microsoft Fabric. • Strong database working experience for transactional and analytics systems, including querying and tuning large, complex data sets and
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enterprise systems including VMware, SAP Basis, data center operations, and server infrastructure. • Proven experience in managing complex IT operations and leading large, distributed technical teams. • Strong
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Fabric – specifically Data Factory, Data Engineering, Data Warehouse and Data Lake Storage. • Working experience in big data and DataSecOps is an added advantage. • Experience in MS SQL and Oracle
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and external. Provide programmes needs analysis, proactively tracking programme success and iterate on programme design as necessary using a data driven approach. Serve as an active ambassador for our
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/scholarly journals Experience with data collection (qualitative and quantitative) Good analytical and critical thinking skills Good organizational skills, shows initiative to plan and anticipate work needed
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for metamaterial design. The role contributes to NTU’s research mission through model testing, data analysis, proposal preparation, and publication support. Key Responsibilities: Collaborate with other researchers
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manage and analyze large data sets, automate repetitive tasks, and enhance collaboration among researchers. They develop custom tools and platforms that streamline workflows, improve accuracy, and