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of Singapore (NUS) Department of the Built Environment (DBE) invites applications for a full-time Research Fellow to drive R&D in carbon management and optimization within the built environment. The successful
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data. Designing mathematical models. Developing simulation program. Designing optimization or learning-based algorithms. Working on research projects, supervising research students, and preparing
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- “Mobility resilience in rainy season: enhancing transport equity for seniors through barrier mitigation, adaptive station design, and paratransit system optimization.” Qualifications Applicants should have a
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the research project - “Joint optimization of train scheduling, flexible train composition, and seat allocation with extra-long trains for high-speed railway corridors”. Qualifications Applicants should have a
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to design, optimize, and scale-up of electrolyzer systems to use for recycling spent battery materials. Key Responsibilities Design & Development • Lead the design and scaleup our electrolyser systems
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and usability 2) increase the range of I/O optimizations supported by the library (e.g., deduplication, caching, scheduling) and 3) identify the limitations and required modifications to the platform
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holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: The ADAPQO project aims to develop technology for optimizing queries on data management systems. In this context, the main
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in the development, validation, and optimization of 3D-printed Ship Hull and Connector System. This includes conducting finite element modeling, ship resistance and stability assessments, as
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the mentorship of leading experts in one of the following priority research areas: Research area 1: Intelligent Structural Optimization using Physics-Informed Reinforcement Learning Research area 2: AI-Enhanced
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Title: Mechanistic Investigation on Electric-Bias-Optimized Plasma Catalysis for H2O-CO2 Conversion Project Introduction: Plasma catalysis is emerging as a promising alternative for carbon-dioxide