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Computational Fluids Dynamics (CFD); • Well informed and knowledgeable in urban climate modelling; • Experienced in using environmental simulation tools, such as UrbanMicroclimateFoam, OpenFOAM, WRF/PALM or other
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to contribute to each of the following key areas. 1. Strategic Planning for web lecture and video streaming services • Plan and manage the operational delivery of web lecture services. • Propose
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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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Job Description Apply now Job Title: Assistant Manager, NUS-IHME Global Burden of Disease Research Centre (1-year contract renewable) Posting Start Date: 11/02/2026 Job Description About Us NUS Medicine and the Institute for Health Metrics and Evaluation (IHME), University of Washington School...
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monthly procurement performance insights and spend analysis to support strategic planning and operational excellence Develop and deliver training programmes and procurement clinics for university staff
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purposes. • Plan and execute at least one high profile event per year, a Board/volunteer retreat, and Greater Good Series events to enhance donor engagement. • Contribute to the development
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datasets for model training. Requirements Preferably major in Computer Science, Artificial Intelligence, Mathematics, Quantitative Finance, or a similar discipline. Strong proficiency in Python and
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The National Institute of Education invites suitable applications for the position of Research Assistant on a 17-month contract at the Learning Sciences & Assessment Department . Project Title: Enhancing students’ self-regulated learning with generative AI-powered chatbots Project Introduction:...
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education, innovation programmes, research, and start-up ecosystem community via NUS Enterprise’s digital platforms. What You’ll Do Lead with excellence – Working with internal stakeholders and external
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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