158 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of St" Fellowship research jobs 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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required by the research component of the project. Independently analyse complex data sets. Write and review research papers, present research outcomes, conceptualise new ideas and develop plans
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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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Supervise the collection and maintenance of clinical trial documentation, including data records and equipment maintenance logs Ensure compliance with clinical inventory management procedures Develop and
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. • 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
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discipline (statistics, mathematics, computational biology, data science). Strong programming skills (R preferred) Statistical competence (Bayesian is advantageous) Please email the PI at ephdbsl
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count data, offering a rare opportunity for applied research and experimentation. The postdoctoral research fellow will be supervised by the principal investigator Dr. Adrian Chong from the Department
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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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phases are as follows: Phase 1 – Literature reviews and research writing. Phase 2 – Survey and experiment design, and IRB applications. Phase 3 – Data collection and pre-processing. Phase 4 – Data analysis