806 data "https:" "https:" "https:" "https:" "UNIV" positions at Nanyang Technological University
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AI/ML models for predicting materials properties using data-driven approaches, including the treatment of disordered inorganic materials. Develop codes as necessary to assist existing and new code
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boundaries of AM material innovation and supports NTU’s commitment to sustainable and impactful technological development. Key Responsibilities: Conduct data acquisition campaigns, collecting synchronized
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, and full-stack development, supporting the deployment of intelligent, data-driven solutions that are reliable, efficient, and user-focused. Key Responsibilities: Design, develop, and maintain scalable
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include: Leading sourcing activities such as requests for information, quotations, and proposals, from planning through contract award Reviewing and improving procurement processes to enhance efficiency
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to join the Division of Academic Computing & Information Services (ACIS) as an Analyst Programmer/Systems Analyst (2-year contract). This role is instrumental in the implementation of the Student Management
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setting Knowledge and experience in Educational AI-related projects and research is important. Responsibilities: Working with related LLM and database, Data scanning and collection, data analysis with
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administrative support, and undertake project management responsibilities to ensure the timely and high-quality delivery of project outputs. Key responsibilities: Conduct literature reviews, data collection and
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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an emphasis on technology, data science and the humanities. The incumbent will coordinate the research efforts of the PIONEER IAF-PP programme, will ensure on-time reporting and monitor the progress. He/She
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an emphasis on technology, data science and the humanities. SG100K, spearheaded by Prof. John Chambers, is a landmark population cohort study of 100,000 Singaporeans of diverse ethnic background. The cohort has