624 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at National University of Singapore
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Department : Technology Business Systems Employee Referral Eligible: No Job requisition ID : 31215 Apply now
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, and communication activities for the department 2. Support the operations of the undergraduate programme 3. Support the department’s IT-related matters Qualifications Bachelor’s degree in any discipline
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technology with capacity-building on water treatment and sanitation, and is implemented across hospital, rural, and school settings in Southeast Asia in collaboration with UNICEF, the World Health Organization
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Job Description Job Alerts Link Apply now Job Title: TEST NUS E&A Posting Start Date: 05/12/2025 About the Role: Welcome to the College of Design and Engineering (CDE), a fusion of two world-class
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serves as a key analytical engine for Southeast Asia and the surrounding region. The Centre delivers rigorous scientific evidence to support decision-making, enabling regional leaders to translate data and
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/ policies changes implemented and assist in the pre-programme and post-programme preparation as required for Executive Education Programmes. 1. Accounts Payables a. Verify and process all invoices (i.e
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Computer Engineering. More information on the laboratory is available at www.neuroimaginglab.org . The MNNDL group at NUS is a multidisciplinary team studying the human neural bases of cognitive functions
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the Management. Qualifications • Tertiary training in Building Services or Civil / Mechanical / Electrical Engineering, Facilities Management or equivalent. • Preferably with at least 3 years’ experience in
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within tight deadlines. More Information Location: Kent Ridge Campus Organization: College of Design and Engineering Department : Dean's Office (College of Design & Eng) Employee Referral Eligible: Job
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, Atmospheric Sciences, Urban Climate, Architecture Engineering, Building Science, or related fields majoring in Computational Fluids Dynamics (CFD); Well informed and knowledgeable in urban climate modelling