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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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proceedings Collaborate with other researchers on project discussions and joint deliverables Support the preparation of research proposals and grant applications Job requirements: Must hold a PhD degree in
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Responsibilities: To develop process for cooling high-power electronics To fabricate device prototypes of such cooling device Conduct research and experiments at the MAE laboratory facilities Supervise and guide PhD
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manufacturing, mechatronics, innovative design, nanotechnology, and biomedical and computational applications. Key Responsibilities: The research fellow will be leading the development of AI-based decision-making
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Fellowship Programme) and with external partners. Job Requirements: Candidates must have a PhD in one of the relevant fields of Asian Studies, international political economy, political science, public policy
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applications. Job Requirements: PhD Degree from a reputable university with relevant research experience/expertise and strong journal publication record. Prior experience on similar research and strong record
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recovery Perform advanced water analysis Perform membrane fouling characterization and membrane autopsy Prepare research paper, progress report and presentations Job Requirements: PhD degree from a reputable
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. The Postdoctoral Research Fellow will work closely with members of the Physical Activity and Nutrition Determinants in Asia (PANDA) research programme: https://blog.nus.edu.sg/sphpanda/ . PANDA is one of the major
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facilities dedicated to technology such as state-of-the-art light microscopy, nano- and micro- fabrication, and computing. We are seeking to recruit a highly motivated and talented Postdoctoral Research Fellow
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, and security of genomic and clinical data. Adhere to ethical, regulatory, and institutional guidelines for genetic data analysis Key Competencies and Requirements: PhD in Computational Biology