543 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"IFM" positions at Nanyang Technological University
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technical and financial risk domains. Design, implement, and validate the LLM Risk Quantification and Insurance Support Engine, including model formulation, data analysis, and simulation of LLM risk scenarios
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completion of deliverables. Lead the design, performance and optimization of experiments with scientific rigor. Collect, analyze, and interpret experimental data. Communicate findings clearly through technical
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bilingual (Mandarin and English), with strong computer literacy to manage electronic teaching and clinical systems. Application Procedure Interested applicants are invited to submit through the NTU career
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Block S4, Level B3, Singapore 639798 Email: rsisrecruitment@ntu.edu.sg Applications will close on 31 January 2026. We regret that only shortlisted candidates will be notified. For further information
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change effectively. Closing Date The closing date of the advertisement is 9 December 2025. We regret that only shortlisted candidates will be notified. Other Information NIE staff can take chartered buses
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understanding of counseling techniques or student advising. Ability to collect, manage, and analyze data for feedback, tracking and reporting purposes. Ability to manage multiple tasks, prioritize effectively
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organic methodology. Key Responsibilities: Conduct routine lab research and data analysis in organic chemistry and organometallic chemistry. Assist in instrument installation and maintenance, and
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for our students in NIE. Closing Date The closing date for applications is 5 January 2026 or until the position is filled. Other Information For enquiries, interested applicants may write to Associate
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data analytics. Develop and refine methodologies and testing protocols for lab. Perform materials characterization for thin films. Conduct computer simulations with softwares such as ANSYS/COMSOL. Work
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an emphasis on technology, data science and the humanities. The Hwei-Ee Tan lab studies the fundamental biological basis of “gut-feelings”, how bacteria in the gut signals to the host to influence physiology