965 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" positions at National University of Singapore
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accurate, up-to-date information. 2) Student Records Management and Reporting Administer and ensure accuracy of student records, tracking milestones from admission through to conferment. Collaborate with
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professionally. Update the CSDU website on a needs basis, ensuring information is current and accurate. General administration and records Maintain accurate filing and document management across programmes
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frameworks to analyze structure, unstructured and non-traditional data related to corporate financial, environmental, and social indicators. There are no teaching obligations for this position, and the
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specifying your research and/or teaching interests and experience. 2) Full curriculum vitae. 3) Contact information of at least three references. For more information on NUS, please visit: www.nus.edu.sg
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partners) to enable robust research governance, data management, and collaborative projects. Job Responsibilities Research Administration Support lab and office operations, including procurement, budgeting
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-impact activities while ensuring no important correspondence is overlooked. • Data Analysis, Reporting, & Decision Support: Lead the analysis & synthesis of institutional data to inform strategic
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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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-Enrolment & Advisory Support Serve as a first point of contact for programme enquiries and prospective participants Provide timely responses to enquiries and share relevant programme information and materials
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, will be an advantage in managing clients in the region. • Tech savvy and proficient in MS Office, SaaS, and possess basic data analytics skills. Experience & Attributes • 5 years of relevant
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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