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- “Asymptotic optimality of project inventory level policies for perishable inventory systems with positive lead times”. Qualifications Applicants should have:- (a) a Master’s degree or a good honours degree
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, Industrial Engineering, Operations Research, Computer Science or a related discipline with experiences in optimization modeling and coding. Applicants are invited to contact Prof. Li Ang at telephone number
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qualification; (b) have the background in operations management, and be skilled in multi-criteria decision making, multi-objective optimization and modelling; and (c) be proficient in English. Applicants
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Areas: Applied Optimization and Operations Research / Data Science and Analytics / Applied Statistics and Financial Mathematics / Engineering and Computational Mathematics / Mathematical Science Appl
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Python programming skills for processing annotated data, implementing fine-tuning techniques (e.g., Chain-of-Thought, Retrieval Augmented Generation), and optimizing outputs through cross-referencing and
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to optimize performance; Lead efforts to enhance clinical service quality and patient safety, including but not limited to clinical audit reviews, adoption of new drugs and technologies, credentialing, evidence
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goals Identify and integrate emerging technologies (e.g. cloud computing, AI and data analytics) to optimize university operations and user experiences Stakeholder Engagement: Collaborate with academic
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areas related to systems engineering, including operations research, optimization, reliability and quality, and applications in smart manufacturing. We are particularly interested in individuals who
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given to those with expertise in big data analytics, business statistics, econometrics, data-mining, operations management, operations research, optimization, statistics in healthcare management, supply