421 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" "UCL" "UCL" "UCL" Fellowship research jobs in Singapore
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Fellow to conduct
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laboratory in the Department of Chemical and Biomolecular Engineering (https://cde.nus.edu.sg/chbe/staff/zhu-guan-zhou/ ) pioneers advancements in new battery technology through innovations in electrode
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impact, and cost-effectiveness. Design and oversee laboratory experiments to test the performance and durability of materials under simulated seawall conditions. Analyze and interpret data to make informed
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insights from cutting-edge clinical and translational research. More information on the Department’s research portfolio may be obtained from https://medicine.nus.edu.sg/obgyn/. The Core Support Faculty will
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Employee Category: Research Staff Location_ONB: Outram Campus Posting Start Date: 26/01/2026 Job Description The laboratory of Dr. Tang Hong-Wen within the Signature Research Programme in Cancer and Stem
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design, writing, teaching and examination, publication strategies, supervision, and enhancing methodological skills. The program is directed by Dr. Nilufer Oral, Director of CIL and member of
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Employee Category: Research Staff Location_ONB: Outram Campus Posting Start Date: 11/03/2026 Job Description The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a central hub for Duke-NUS
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Description Conduct independent research activities under the guidance of a faculty mentor (Dr Liang Feng) in preparation for a full-time academic or research career. The successful candidate will work within
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required by the research component of the project. Independently analyse complex data sets. Write and review research papers, present research outcomes, conceptualise new ideas and develop plans
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. • Experience with data analysis using statistical inference techniques. • Experience with health economic evaluations. • Experience with parallel and/or high-performance computing. • Familiarity with agent-based