762 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at National University of Singapore
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knowledge of MS outlook and ability to become familiar with additional computing software • Lift up to 15 to 25kg • Ability to stand for long periods of time • Ability to push equipment or cart
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essential central services to catalyse and support lifelong education across the entire university, including grant management, outreach, application management, and guidance in programme innovation and
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background in the following subjects is preferred: computing, information systems, economics, business, finance, or related disciplines. A bachelor’s degree is required, a master’s degree in one
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Job Description Apply now Job Title: Senior Executive/ Assistant Manager/Manager (Admissions) Posting Start Date: 13/11/2025 Job Description: Description The Office of Admissions (OAM) oversees full-time undergraduate admissions, scholarships, and financial aid at NUS. Reporting to the Provost’s...
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Job Description Apply now Job Title: Communication Specialist (Executive / Senior Executive), NUS College Posting Start Date: 24/09/2025 Job Description As a Communications Specialist, you will play a dynamic and versatile role towards bolstering the College’s brand presence and fostering strong...
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of the SGFIN team to support SGFIN’s activities and objectives Qualifications Academic background in the following subjects is preferred: computing, information systems, economics, business, finance, or related
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stakeholders, and communicating renewal outcomes to scholars • Administer scholarship-related benefits and reimbursements (travel grants, overseas programme support, allowances) as per scholarship terms
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(eg. DiscoverNUS and the NUS ASEAN Scholarship Program, Advance@NUS, NUS GRTII Scholarship Program) • Keep track of timelines for each academic year/semester, ensure timely communications with
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PhD in Health Economics, Programme Evaluation, Public Health, Environmental Sciences, or an equivalent field. Strong track record in applied health economic analysis (e.g. cost-effectiveness, budget
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, computational biology, data science). Strong programming skills (R preferred) Statistical competence (Bayesian is advantageous) Please email the PI at ephdbsl@nus.edu.sg for further details and to arrange