806 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"Dip" positions in Singapore
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Business Assistant Manager/Senior Executive/Executive (Manager (Lifelong Learning Programmes), SCALE
academic function, SCALE aggregates lifelong learning opportunities from across NUS onto a single platform for alumni, works with industry and government partners to co-create workforce development and
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as instructed. Assist in instrument set up, implementation, development, and validation under supervision. Basic biological experiment including but not limited to assay, cell culture, gel
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emerging technologies. Sustainability is a top priority for SC3DP, which offers material development and control services that combine artificial intelligence, big data, and other digital tools for process
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operational leadership in managing all faculty-related activities within the School of Civil and Environmental Engineering (CEE). The role oversees faculty recruitment and appointment, culture and development
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-to-end sourcing for complex and high-value tenders, including development of tender requirements, evaluation frameworks, commercial assessments, negotiations, and award recommendations Act as Business
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participate in the production of our data products and contribute to the ongoing research and development of the flagship NUS-CRI Probability of Default model. This opportunity will challenge successful
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projects, and spearhead the development of cutting-edge AI technologies. Key Responsibilities: Drive tasks stemming from AIAP, AIAP (Industry), LADP, and AIIP. Train and mentor AI apprentices during the Deep
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Student Management System and Academic Services Blueprint. The role will lead end-to-end system development initiatives from design through to launch, as well as champion the digitisation of academic and
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deeper understandings of STEM education and co-constructing a common STEM Instructional Framework to guide STEM teacher professional development, integrated STEM lesson implementation, and comparative
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for the development of Performing literature review and background study on collaborative AI Apply knowledge on foundation models to optimize training and inference processes Conduct experiments to compare with