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the research project - “Inventory optimization in operations management”. Qualifications Applicants should have a doctoral degree in Management Science, or other related field, with at least six years of
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Professor in Optimization and Operations Research / Statistics and Data Science/ Financial Mathematics / Engineering and Computational Mathematics / Mathematical Science / Actuarial Science (Ref. 260713005
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encompassing data-driven electrolyte screening, molecular dynamics simulations, and experimental validation to bridge the gap between AI predictions and practical battery performance. The optimized electrolyte
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, and experimental validation to bridge the gap between AI predictions and practical battery performance. The optimized electrolyte formulations are expected to satisfy the strict requirements of high
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, and stay abreast of the latest advancements in OLED display technology. He/she will oversee R&D activities related to OLED emitters and devices, providing technical guidance and leadership to optimize
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- “Smart Holistic Insurance Enhancement using Learning Algorithms & Decentralization (S. H. I. E. L. D.)”. He/She will be required to: (a) develop machine learning models to predict optimal
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and develop genuine interdisciplinary / departmental research with the optimal use of research funds; Provide leadership in technology development, commercialisation and entrepreneurship initiatives
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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