147 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" Fellowship positions at National University of Singapore
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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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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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: - Independently carry out the design and execution of experimental research required by the research component of the project. Independently analyse complex data sets. Write and review research papers, present
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research findings and communicate effectively to diverse audiences. More Information Location: Kent Ridge Campus Organization: College of Design and Engineering Department : Materials Science and Engineering
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, particularly wire-arc directed energy deposition; • Technical knowledge of arc welding; • Knowledge and skills in AI. More Information Location: Kent Ridge Campus Organization: College of Design and
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Development of research hypotheses Plan and perform the development of valuation framework and advanced analytical tools connecting stock market information to corporate information Contribute
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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