402 programming-"https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" uni jobs at Nanyang Technological University
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opportunity to contribute meaningfully at the intersection of AI, research, and education in one of the world's leading universities. Job Responsibilities Project & Programme Management Manage, execute, and
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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Development Life Cycle (SDLC) and Agile methodologies. Proficiency in .Net programming. Experience in GitHub Copilot or similar tools. Experience in system integration via APIs and database layers. Experience
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MBA) Programme. To support and maintain Nanyang Fellows MBA and Graduate Studies media (websites, socials, brochures) To work with agencies for media campaigns, artwork, copy, photoshoots and video
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-enabled assessment practices. Key Responsibilities: Assessment Operations: Plan and administer centralised and decentralised assessments in compliance with University assessment regulations, policies, and
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of undergraduate students. Key Responsibilities: Writing programs for data analytics. Draft reports and scientific publications. Train graduate and undergraduate students. Administrative duties such as purchase
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and policy ecosystem, both locally and globally Student, Alumni & Talent Development Oversee initiatives that enhance student engagement, industry exposure, and career readiness across the programme
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a key role in coordinating programme reviews, supporting data-driven decision-making, and ensuring the effective execution of academic and administrative processes. Key Responsibilities: Collate
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. Proficiency in SQL and working knowledge of programming languages such as Python or R for data analysis and transformation. Good understanding of data modelling, data integration, APIs, data transformation, and
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to strengthen its Maritime Studies programme. Visiting Professor appointments are extended to distinguished professors or researchers with recognised expertise and strong collaborative ties with the School