431 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" "UNIV" "Univ" Fellowship research jobs in Singapore
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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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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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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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Responsibilities: To independently undertake research on data-efficient object detection with key techniques in few-shot learning, transfer learning, image synthesis, etc. To produce research reports and/or
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of lab-scale and pilot-scale experiments/operations with element of machine learning, sample characterizations, data analysis, and so on. Job Requirements: PhD degree in Materials Science, Polymer Science
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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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) 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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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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progression, helping to pave the way for novel therapeutic strategies. They will collaborate closely with data scientists and experimental colleagues to ensure thorough experimental design and accurate data