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, with expertise in dynamic/data-driven modeling, optimization, Aspen, COMSOL, or CFD b. Techno-economic analysis (TEA) & life-cycle assessment (LCA) for chemical, energy, or biomanufacturing processes
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, and optimize multimaterial LPBF processes, integrating in-situ monitoring, process parameters, material combinations, and resulting microstructural and structural outcomes. Design and optimize
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• Possess a PhD in a related discipline (transportation engineering, operations research, computer engineering/science, or related disciplines) by December 2024. • Strong knowledge and
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theoretical statistics, statistical machine learning, high-dimensional inference, empirical process theory, stochastic modeling, optimization, or related areas. • Experience with writing and developing
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optimization using tools such as Lumerical FDTD, or equivalent simulation platforms. • Analyze device physics and process–performance relationships, collaborate with multidisciplinary research teams, and
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We are looking for a Research Fellow (RF) to work with Prof. Ning Yan (Department of Chemical and Biomolecular Engineering, NUS). Project Overview: This project aims to develop catalytic processes
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optimization, digital health adoption, and practice transformation. The opportunity The IT Management Department at the Ted Rogers School of Management (TRSM), Toronto Metropolitan University (TMU), invites
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-UAS technologies o Multi-agent systems and swarm robotics o Autonomous navigation and guidance o Computer vision and perception o Machine learning
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twelve months] Duties The appointees will assist the project leader in the research project - “A memory-enhanced AI agent coordination system for human-centric manufacturing process monitoring and
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theory, Extremal Graph Theory, Combinatorial Optimization, Matroid Theory, and Algorithms. This appointment is for about two years, and the starting salary is no less than KRW 66,000,000. The appointment