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quantitative methods and proven ability to handle and analyse large datasets. Be familiar with statistical and programming software (especially SPSS, Qualtrics, and/or R) and data analysis Additionally, you will
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enhance collaboration and information sharing within the Undergraduate Programmes Office. Requirements: Bachelor’s Degree Proficient in MS suites of software Able to handle large volume of data Able
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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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with a plan for future growth. This role will also play a big part to transform the current data platform technologies into cloud based. This is a hands-on leadership role and the candidate should have
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to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems
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high-quality marketing and publicity materials such as videos, brochures, posters, and event content. Organise and support large-scale outreach and engagement events (e.g. roadshows, information sessions
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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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The Office of Information, Knowledge and Library Services is seeking an experienced individual to join the Library Services Division. The successful candidate will be part of a team that delivers
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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
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opportunities and exposure to university-wide initiatives. Career progression pathways within a large, future-focused academic institution. Supportive work culture that promotes work-life harmony, flexible work