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. Provide guidance and mentorship to undergraduate/medical students and research assistants. Develop and deploy user-friendly tools, such as R Shiny applications, for clinical translation of predictive models
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the Monetary Authority of Singapore (MAS) and NUS. SGFIN aspires to develop deep research capabilities in sustainable and green finance, provide thought leadership in the sustainability space, and shape
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with retrieval-augmented generation (RAG) frameworks is an advantage. Strong programming skills (e.g., Python, R, or similar). Interested applicants are invited to submit a full CV and cover letter in
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grant opportunities from government agencies, foundations, and other funding bodies Oversee the preparation of high-quality grant proposals and funding applications, ensuring alignment with funder
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contacted. Qualifications Applicants should possess a PhD in chemistry, material sciences or biomedical engineering from a well-recognized university or research institute. Experience with materials
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Electronic, Optical Engineering or related field from a reputable University Expertise in application of AI Experience in condition monitoring or structural health monitoring Good publication track record
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for follow-up grant applications. Contribute to achieving the manpower development KPI by training at least two Master’s and Honours students during the project period. More Information Location: Kent Ridge
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are expected to start March 2026. Review of applicants will continue until positions are filled. Applicants should submit a cover letter indicating their area of interest and how they intend to participate and
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deliverables such as reports/journal articles, workshops and webinars. Qualifications Applicants should have at least or close to obtaining a PhD in the Social Sciences/Humanities, Computing or other relevant
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processes met the ethical standards of the University, Singapore Good Clinical Practice Guidelines and other applicable regulatory and ethical requirements Collaboration and communication Work effectively