254 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" research jobs at National University of Singapore
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Health Services and Data Science (Project: Development of Natural Language Processing and Item response Theory based systems for Patient Reported Outcomes Measurement) Optimizing the performance of health
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immunophenotyping of colonic tissues. Develop and optimize small animal models of colitis to investigate the mechanistic role of SCFA-producing microbes in mucosal repair. Perform data analysis using computational
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experience, offering hands-on experience in integrating spatial data with qualitative and survey-based insights. The project team consists of Principal Investigator (PI) Professor Elaine Ho (Department
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recruiting a full-time Research Assistant (or Associate) to undertake pathogen genomic analysis. The selected candidate will analyse whole-genome sequence data from the parasitic liver fluke Opisthorchis
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are not limited to: • Data collection and management • Data analysis using software such as R, Stata or SAS. • Preparation of reports, presentations, manuscripts. • Writing grant proposals • Provide
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‑income households in Singapore. The role involves contributing to high‑quality data collection and fieldwork management, while also offering opportunities to collaborate on articles and research papers
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Assistant’s principal roles will be to contribute to general research activities such as recruitment, data collection, administration of questionnaires, project coordination, data entry, verification, and
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research related to undergraduate design studio teaching. • Support data collection and analysis through interviews, surveys, fieldwork, and visual documentation. • Assist in preparing reports, grant
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research projects in the areas of Environmental and Cancer Epidemiology. Major duties and responsibility of the position include but are not limited to: • Data collection and management • Literature review
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, interpret and make meaning of the data collected. The RF/RA’s principal role will be to support the project through their Epidemiology/Biostatistics expertise, data analysis, scientific writing. In a lean