160 data-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" "Simons Foundation" Fellowship positions at National University of Singapore
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of migrant nurses, providing valuable information on the nations that migrant nurses pass through, the time they spend in each place, and how their migration patterns might shift in response to recruitment
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communication skills with the ability to document research findings and communicate effectively to diverse audiences. More Information Location: Kent Ridge Campus Organization: College of Design and Engineering
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reactions, or transport mechanisms. • Experience in data-driven modeling or machine learning applied to membrane materials or separation performance analysis is a strong advantage. • Candidates with strong
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, conferences and ARI social events. Other benefits that the University provides and information about working at NUS and living in Singapore are available at Why Join Us . Terms and conditions, according
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Key Phenotypic Definition and Evaluation, including molecular and biochemical bioassays Characterization of Genetic Control Cultivar and Lines Development Integration of Genomic Data into Cultivation
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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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Information Location: Kent Ridge Campus Organization: College of Design and Engineering Department : Materials Science and Engineering Employee Referral Eligible: No Job requisition ID : 30162 Apply now
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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