1,997 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" "Univ" positions in Singapore
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processes and support new initiatives from the Undergraduate Studies Office and University boards. Operational Excellence, Data Analytics and Process Innovation Oversee the planning and execution
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competency in working with and synthesising information from different sources Have a strong command of the English language and be able to write in a clear and engaging manner, with a keen eye for grammar
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communication skills. • Individual with customer-centric mindset. • Ability to multi-task and able to work under pressure and adapt to a fast-paced environment. More Information Location: Kent Ridge Campus
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and providing feedback on practicum assessments as needed. Evaluate the effectiveness of engagement efforts by analysing data through quantitative and/or qualitative methods. Handle administrative tasks
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The Wee Kim Wee School of Communication and Information (WKWSCI) at Nanyang Technological University (NTU), Singapore, invites application for three Research Fellow positions. NTU is a global leader
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NTU’s Wee Kim Wee School of Communication and Information seeks an Assistant Manager / Senior Assistant Manager to join our graduate programmes team. The successful candidate will manage the
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not limited to: Recruit participants for research studies including screening of medical records and consent taking. Conduct quantitative data collection, administration of face-to-face surveys, and
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. The responsibilities of the role will include designing and developing various analytical frameworks to analyze structure, unstructured and non-traditional data related to corporate financial, environmental, and social
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impact, and cost-effectiveness. Design and oversee laboratory experiments to test the performance and durability of materials under simulated seawall conditions. Analyze and interpret data to make informed
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. • Experience with redox-active organic compounds is highly desirable. • Strong analytical skills and experience in data analysis and interpretation. • Highly motivated, detail-oriented, and able to work