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development and deployment for pilot human studies. 6. Perform other duties as assigned. Requirements 1. Ph.D. in Mechanical Engineering, Materials Science, Biomedical Engineering, Computer Science or a related
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, or related fields majoring in Computational Fluids Dynamics (CFD); • Well informed and knowledgeable in urban climate modelling; • Highly experienced in using environmental simulation tools, such as
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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
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in conducting social science research, including designing and conducting surveys Mastery of word and excel programmes Able to use statistical software to analyze and organize data Responsible and
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, we aim to nurture our students into agile, future-ready talents who are highly sought after in the job market and who will become influential alumni globally. Beyond our educational programmes, CDE
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Drawing on unparalleled access to the multi-disciplinary expertise of 16 other NUS Faculties/Schools, SCALE offers youth, executive and professional development/education programmes, part-time and full-time
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functions. The successful candidate will play a key role in executing and coordinating communications, digital marketing, and content activities to enhance the School’s visibility, promote its programmes, and
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Job Description Apply now Job Title: Automation & Systems Specialist (0-3 years/ No experience required) Posting Start Date: 17/12/2025 Job Description: Job Description About the Role We’re expanding our systems team at NUS Enterprise to build the backbone of our intelligent operations. As an AI...
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, Computer Science, Engineering, or a related field is preferred. At least 8 years’ experience in data management, project management and programming. Demonstrated expertise in data engineering, analytics, and
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational