1,346 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "Univ" "Univ" uni jobs in Singapore
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weighing of 50 to 100kg. • Ability to perform rotating weekend duties and after office hours duties independently • Process a valid class 3 driving license will be an added advantage More Information
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Administration Support: Provide support and assist supervisors (PIs) in managing research grant budgets or any other research-related queries. Prepare and consolidate research data and indicators for reporting and
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Dossier: Interested applicants are invited to submit a CV to nurleee@nus.edu.sg Shortlisted candidates will be invited for a campus visit and interview. More Information Location: Kent Ridge Campus
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would be an added advantage. Closing Date The closing date of the advertisement is 17 February 2026. We regret that only shortlisted candidates will be notified. Other Information NIE staff can take
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. Undertake additional duties such as inventory tracking, data collation, and supporting team or departmental activities. Requirements: Diploma in Events and Hospitality Management or a related discipline. At
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procurement for events. Administrative skills Statistical and data analysis Communication and interpersonal skills Attention to detail and process orientation: ensuring consistency, compliance, and timely
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graduates are welcome to apply; however, the appointment level and remuneration will be commensurate with the candidate’s qualifications and experience. More Information Location: Kent Ridge Campus
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managing and implementing a Chemical Safety Programme in an education or healthcare institution is preferred More Information Location: Kent Ridge Campus Organization: Office of Risk Management and
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space. Ensure adequate supply of laboratory consumables and spares parts for lab operations. Perform administrative tasks of budgeting, purchasing (equipment, consumable etc), record-keeping and data
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justified approach to achieve a goal, once a problem statement and/or a research scope is defined by the PI and the staff. The staff will need to execute the plan experimentally and interpret the data