144 web-programmer-developer-"https:" "https:" "https:" "https:" "https:" "https:" Fellowship positions at National University of Singapore in Singapore
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including staffing and organizational needs of the project team, and preparing high-level project plans with project timeline and resource requirements Development of research hypotheses Plan and perform
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research program to develop next-generation sensor devices and systems for human-machine interactions. Qualifications PhD in Materials Sciences, Robotics, Mechanical Engineering, or related disciplines. More
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-performance computing clusters, relational database design, and web development is required. Prior experience with pathogen genomic epidemiology and modelling is also desirable. Have experience training others
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resource requirements Development of data collection and storage framework Plan and perform the collection of information from various alternative, non-traditional data sources, along with commercial
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of Immunity and Immune Pathology in the Emerging Infectious Diseases Signature Research Programme. The candidate is expected to work on a project examining immune responses to viral pathogens and allergic
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of Civil and Environmental Engineering. This position is part of an exciting research programme aimed at developing generative AI tools to assist structural steel design. The Research Fellow is expected
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supervision of Professor Chuyang TANG, Department of Civil & Environmental Engineering (CEE). This position is embedded in the Tang Lab’s membrane research program, which focuses on the materials-level design
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to support interdisciplinary projects within the PANDA programme. We are seeking highly motivated colleagues with strong quantitative and analytical skills to contribute to the coordination of research
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Development of research hypotheses Plan and perform the development of valuation framework and advanced analytical tools connecting stock market information to corporate information Contribute
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multidisciplinary research programme focused on developing advanced AI-driven methods for neuroimaging, digital phenotyping, and population brain health. This programme brings together expertise in artificial