153 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" Fellowship research jobs at National University of Singapore
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• Develop and implement generative AI models for urban landscape planning and design • Interpret and analyse data • Collaborate with other team members to conduct interdisciplinary research • Publish
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organisational abilities for project planning, data analysis, manuscript preparation, and grant writing. Have a good understanding and knowledge in statistical methods using R, Stata, Python, or SPSS. Appointments
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Information Location: Kent Ridge Campus Organization: College of Design and Engineering Department : Civil and Environmental Engineering Employee Referral Eligible: No Job requisition ID : 30899 Apply now
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) referees to this job portal. We regret that only shortlisted candidates will be notified. More Information Location: Kent Ridge Campus Organization: Yong Loo Lin School of Medicine Department : Dean-Med
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skills in a work environment, motivation and drive to work hard, high ethics standard and level of integrity are most important. More Information Location: Kent Ridge Campus Organization: Yong Loo Lin
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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