213 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs at National University of Singapore
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(statistics, mathematics, computational biology, data science). Strong programming skills (R preferred) Statistical competence (Bayesian is advantageous) Please email the PI at ephdbsl@nus.edu.sg
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Information Science applications (e.g. ArcGIS, QGIS) will be an advantage Skills in using qualitative analysis software will be an advantage Conversational proficiency in one or more of the following languages central
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Job Description Job Alerts Link Apply now Job Title: Research Assistant (LCPC/EA) Posting Start Date: 31/10/2025 Job Description: Job Description The Signature Research Programme in Health Services
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Job Description Job Alerts Link Apply now Job Title: Research Assistant/ Associate (Pediatrics) Posting Start Date: 24/12/2025 Job Description: Job Description We invite applications for a full ‑ time Research Assistant / Research Associate to support ongoing projects in Language, Literacy &...
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for coordinating the delivery of our education programmes, managing cross-functional workstreams that enable effective research and education programme execution across the Centre, and contributing
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using computational pipelines for microbiome and metabolite profiling, ensuring high scientific rigor and reproducibility. Contribute to manuscript writing, conference presentations, and preparation
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, health economics, statistics, quantitative social sciences, computer science); • Proficiency in statistical or scientific computing languages such as R or Stata is required; • Familiarity with
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Measures using advanced psychometric methods and publication and dissemination; Establishing an independent research programme derived from the current project; Providing support for other collaborative
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that will support regulatory approval and market access. Requirements • Doctoral degree in computer science or statistics. • Commensurate experience (2 years) in clinical research. • Experience with
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expected, and familiarity with modern machine learning methods will be considered an asset. NUS offers a vibrant research environment, with access to high-performance computing facilities and opportunities