160 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" Fellowship positions at National University of Singapore in Singapore
Sort by
Refine Your Search
-
. • Experience with data analysis using statistical inference techniques. • Experience with health economic evaluations. • Experience with parallel and/or high-performance computing. • Familiarity with agent-based
-
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
-
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
-
, 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
-
Key Phenotypic Definition and Evaluation, including molecular and biochemical bioassays Characterization of Genetic Control Cultivar and Lines Development Integration of Genomic Data into Cultivation
-
threats (prompt injection, data leakage, tool misuse). • Design identity and authorization for AI agents (authenticated tool use, secure delegation, cryptographic logging). Key responsibilities • Lead
-
behaviour in physiologically relevant environments. Data analysis, scientific documentation, and preparation of manuscripts, reports, and conference presentations. Supervision or co-supervision
-
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
-
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
-
PhD in Economics, Health Economics or related discipline. Research experience in Health Economics / Econometrics are highly desirable. Experience in quantitative data and statistical analyses