154 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" Fellowship positions at National University of Singapore
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metabolism in ALS. This involves close collaboration with interdisciplinary teams, including experimental biologists and computational data scientists, to design and execute sophisticated experiments. The role
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activities which include: Design, implement, and evaluate research studies in palliative and end-of-life care Conduct data analysis (quantitative, qualitative, or mixed methods) and prepare manuscripts
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person or by zoom, as appropriate. If you have not heard from us within 3 months, you should assume that your application has not been successful. More Information Location: Kent Ridge Campus Organization
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, and may include parts of Asia. There will be opportunities to design and field surveys to collate primary data. The full-time Postdoctoral Fellow is expected to produce two journal articles during
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application/revisions, reporting to funders) Manage research staff assigned to the project Supervise data collection Interact with different stakeholders involved in the project Conduct data analyses Lead
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information on benefits, about working in NUS and living in Singapore, go to 'Why Join Us' . Application Process To apply for this position, please combine the following documents in 1 PDF and attach it under
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or polymer materials and their applications in sustainability. The candidate is expected to have a strong background in Synthesis, or Materials Science. More Information Location: Kent Ridge Campus
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information for at least two academic referees Scientific enquiries can be sent to Dr Yin Loon Lee at yinloon_lee@asrl.a-star.edu.sg . We regret that only shortlisted candidates will be notified. More
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containing doi links), The names and contact information of 2-3 references. Applications will be evaluated upon submission on a rolling basis until the position is filled. Only shortlisted candidates will be
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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