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Plan the pre-allocation of common core courses Manage examinations Provide general academic advice to students Manage general administrative functions such as minute writing, meeting arrangements
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applications for the position of Research Assistant in the Department of Information Systems and Analytics (DISA), School of Computing (SoC). SoC is strongly committed to research excellence in all its
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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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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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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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Job Description Apply now Job Title: Technical Lead, Automation & Intelligence Systems Posting Start Date: 17/09/2025 Job Description Please apply here for this position. (Only applications submitted through this link will be processed.) About the Role We are building the Enterprise...
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classroom interventions and needs assessment explorations, to evaluate the educational impact of AI-based tools. Interdisciplinary Collaboration – Partner with faculty and researchers in computer
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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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The Office of Academic Services (OAS) plays a key role in advancing the University’s educational goals and supporting the provision and governance of academic learning in NTU. We provide the end-to-end academic services from the time of their matriculation to their graduation, creating positive...
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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