122 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions at National University of Singapore
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and as part of a multidisciplinary team • Strong publication record and good communication skills More Information Location: Kent Ridge Campus Organization: College of Design and Engineering Department
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and as part of a multidisciplinary team • Strong publication record and good communication skills More Information Location: Kent Ridge Campus Organization: College of Design and Engineering Department
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execution of experiments. - Collect and analyze research data. - Guiding and working with junior staffs, including graduate/undergraduate students. - Participation in preparation of manuscripts and other
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systems that connect chemical, biological, and sensory data with textual and scientific knowledge. • Applying LLMs to accelerate discovery in food bioactives, sustainable materials, and food formulation
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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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behaviour for use in dentistry. This is not a data-science-only position; prior hands-on experience in the production, characterization techniques of materials, and cell culture is required. Core
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work if this position is offered to you. (We thank all applicants for their interest; however, only shortlisted candidates will be contacted for an interview.) More Information Location: Bukit Timah
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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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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