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meaningfully to Singapore’s next wave of global deep tech success stories. Key Responsibilities: 1. Programme Operations & Delivery Support the development and execution of detailed operational plans aligned
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and Apprentices, and working groups of Project Sponsors, Professors and PhDs, to jointly design, develop and implement the AI solutions. The Project Manager is required to plan, manage, execute and
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systems. The role involves developing scalable binary analysis frameworks, AI-driven program understanding techniques, and automated security testing pipelines for embedded MCU and SOC platforms
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pillars, ensuring alignment with NUS and national digital finance agendas. Develop and refine training portfolio strategy (location, client, product mix) balancing brand building, impact programmes and
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To strengthen the Student & Academic Services Department’s (SASD) capabilities and ultimately improve student experience, the Registrar’s Office has developed an Artificial Intelligence (AI) and
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development initiatives. • Collaborate with CDE PIs and industry partners to design/develop programmes such as industrial research projects, internships, and joint training initiatives. Programme & Event
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library. Programme Marketing Support Coordinate marketing activities for undergraduate and postgraduate programmes (brochures, web copy, infographics, email/social assets). Work with internal teams
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level. Evaluate and plan future needs of the studios and liaise with management, vendors, and support technicians on long-term use. Supervise and lead in the development of content as needed. Provide AV
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development of Velvet, a deductive program verifier embedded in Lean 4, within the Verification and Programming Languages group at NUS. Key Responsibilities: Implementing and testing new verification features
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Programme applications. • Prepare admissions listings, follow up action items, and analyse application/offer/acceptance data for reporting to the Programme Manager and Deputy Head (Graduate Programmes