130 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions at National University of Singapore
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nowcasting platform that delivers real-time, hyperlocal information on urban heat risks in tropical cities. Leveraging Doppler lidar–based microclimate studies and machine learning, the research emphasizes
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, and IRB applications. Phase 3 – Data collection and pre-processing. Phase 4 – Data analysis and result tabulation. Phase 5 – Research communication and writing of papers. The level of responsibility and
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candidate will be required to work on research in the above languages. More Information Location: Kent Ridge Campus Organization: Arts & Social Sciences Department : Chinese Studies Employee Referral Eligible
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input and supervision. Lead the development of evaluation framework and/or assessment tool, survey design, interview, focus group discussion, qualitative and quantitative data analysis, and data
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Fellow in 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
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problem statement and/or a research scope is defined by the PI and the staff. Execute the plan experimentally and interpret the data critically. Report to the PI proactively and take the initiative
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problem statement and/or a research scope is defined by the PI and the staff. Execute the plan experimentally and interpret the data critically. Report to the PI proactively and take the initiative
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disciplines. More Information Location: Kent Ridge Campus Organization: College of Design and Engineering Department : Materials Science and Engineering Employee Referral Eligible: No Job requisition ID : 30162
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. • Maintain expertise in state-of-the-art data manipulation and statistical analysis. • Strategic and scientific contributions at the indication/protocol/integrated analysis level. • Oversee large scale
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. • Proficiency in programming (e.g., Python, C/C++, MATLAB) for model development and data analysis. • Demonstrated ability to work independently and as part of a multidisciplinary team