249 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"NOVA.id" Fellowship positions in Singapore
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threats (prompt injection, data leakage, tool misuse). • Design identity and authorization for AI agents (authenticated tool use, secure delegation, cryptographic logging). Key responsibilities • Lead
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behaviour in physiologically relevant environments. Data analysis, scientific documentation, and preparation of manuscripts, reports, and conference presentations. Supervision or co-supervision
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based on performance and funding availability. Review of applications will begin immediately and continue until the position is filled. Qualifications • PhD Degree in Electrical and Computer Engineering
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management, and data-driven social science. NBS promotes interdisciplinary, policy-relevant research using advanced empirical and computational methods. Responsibilities: Conducting high-quality empirical
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reputable peer-reviewed journals. More Information Location: Kent Ridge Campus Organization: College of Design and Engineering Department : Electrical and Computer Engineering Employee Referral Eligible
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expanding its range of education and research activities. Key Responsibilities: To be involved in a research project related to marine geophysics and data analytics; Key responsibilities include development
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have the ability to be excited about working in a diverse lab group setting, plan and conduct assessments independently and collaboratively, interpret data, and present results to diverse audiences
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Data Science (CCDS) and Nanyang Business School (NBS), and strong involvement from the College of Engineering (CoE), College of Science (CoS), College of Humanities, Arts and Social Sciences (CoHAaS
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PhD in Economics, Health Economics or related discipline. Teaching and research experience in Health Economics / Econometrics are highly desirable. Experience in quantitative data and statistical
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PhD in Economics, Health Economics or related discipline. Research experience in Health Economics / Econometrics are highly desirable. Experience in quantitative data and statistical analyses