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visualisation (libraries such as Three.js, OpenGL, VTK, or similar); - Advanced knowledge of optimisation algorithms; - Previous experience with software development for logistics problems; - In-depth experience
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research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in
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approached by tools in both computational chemistry and applied mathematics. Specifically, the project involves the development of mathematical modeling strategies at both numerical and analytical level to
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optimal output regulation for uncertain multi-agent systems”. The role of this position includes: Developing novel learning-based methodologies to address the prescribed-time control problem for uncertain
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the end-to-end design and development of core system components, including AI-based encoding/decoding modules, model integration pipelines, and software architecture. Drive research and development
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distributed systems. Minimum requirements: - Solid knowledge of database engine implementation; - Solid knowledge of optimization algorithms (Volcano/Cascades); - Practical development experience with
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research in computational pure mathematics through the development of mathematical software Base Salary, Academic level A/B $109,263 - $151,328 + 17% superannuation About the opportunity The School
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the attached template: Compliance with working hours and attendance; Compliance with the work plan, specifically the development of software for the AI module, including the implementation of algorithms
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, interoperability, and compliance with emerging grid standards. Key Responsibilities: Design and develop control algorithms for grid-forming converters. Conduct simulation and experimental validation using real-time
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University of Singapore is dedicated to the interdisciplinary study of humans and algorithms on the Internet, and its implications on the society of the future. This is an exciting opportunity to join us as a