240 data-"https:"-"https:"-"https:"-"https:"-"BioData" Fellowship positions in Singapore
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-throughput synthesis, automation, and data-driven approaches. Key Responsibilities: Design and execute high-throughput synthesis workflows for solid-state materials, including intermetallics, chalcogenides
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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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team members to ensure completion of deliverables Lead the design, performance and optimization of experiments with scientific rigor; Collect, analyze, and interpret experimental data Communicate
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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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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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approaches for intervention. Key Responsibilities: The roles of this position include: Rigorous study design. Perform in-depth, critical data analyses. Effectively communicate through presentations and high
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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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/ Human Movement Science or Learning Sciences / Education Research. Proven experience in designing and conducting experimental studies involving human participants. Strong track record in quantitative data