1,345 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" "Univ" uni jobs in Singapore
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referees with contact details (who will be contacted only if shortlisted). In accordance with the Personal Data Protection Act (PDPA), please provide consent for the collection, use and disclosure
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of, or have experience in, working with university research, or intellectual property management or protection will be favourably considered. More Information Location: Kent Ridge Campus Organization: Office of
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enhancements, digitalisation initiatives, and process improvements. Manage HR data integrity, reporting, and analytics to support informed decision-making. Drive continuous improvement in HR processes to enhance
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management with external agencies such as the Police. Coordination with Office of Human Resources, Office of Legal Affairs, and Office of Internal Audit for requests for information from regulators and law
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on time. Assist in tracking and analysing operations data, such as utilities and equipment performance, in support of sustainability initiatives. Support exploration and implementation of projects related
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responding to requests related to finance situation or information from other offices. • Assist HoD in reviewing and approving travel requests and claims in CONCUR. • Answer enquires from staff/students
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are updated with required documents, notes, and case file numbers Qualifications Degree holder good with computer skills and ability to design EDMs Prior working experience in data entry preferred Competent in
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account records; handle remaining research WBS claims/billings; manage computer replacement budget and asset tagging; assist HoD with Concur. HR/Academic: Coordinate recruitment logistics; support
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the Office of Information, Knowledge and Library Services (OIKLS) within SASD, this position will contribute to the Library’s purpose of ensuring that NTU community has seamless access to information and
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-justified approach to achieve a goal once a problem statement and/or a research scope are defined by the PI and the staff. The staff will need to execute the plan experimentally and interpret the data