693 programming-"https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" positions at Nanyang Technological University
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intelligence and data analytics for ATM, urban aerial transport systems, regional ATM modernization, exploratory studies on emerging technologies, and talent development through PhD programs. The institute aims
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The CN Yang Scholars Programme is an NTU Signature Programme that integrates science, engineering, and research through a rigorous and flexible curriculum. It emphasizes hands-on research, global
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-quality research and experiments on nearshore seawater monitoring Prepare grant proposals and project reports Program using Python and test theoretical findings via computer simulations Test the methods via
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Health, Culture, and Society. Mentor student researchers and support the Centre's PPI initiatives. Contribute to the Centre's seminars, events, publications programme, and outreach activities. Job
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Manage member onboarding, engagement and community-building activities. Support the administration of the co11ab membership programme and member communications. Build positive relationships with members
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. We are seeking a Research Assistant to support a regional programme investigating coral reefs across South and Southeast Asia. The role will coordinate field activities, collect and process large-area
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. Lead and drive innovation in co-curricular programming across Student Organisations such as the Welfare Services Club and Special Interests Clubs to enhance student vibrancy and engagement. Work closely
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initiatives, identifying opportunities to leverage AI and workflow automation to improve operational efficiency, quality assurance, scalability and stakeholder experience. The role works closely with Programme
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-defined research vision and an outstanding track record of publications in top journals. The successful candidate should establish and maintain an independent extramurally funded research program. The
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other duties related to the research program. Job Requirements: A PhD in Computer Science or a relevant field. Strong background in deep learning, Generative AI, and multimodal learning. Strong