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, National University of Singapore. Key Responsibilities • MMV system performance evaluation and optimization in tropical climates. • Design and conduct thermal comfort and indoor environmental quality
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resilience to stressors in fish. The aim will be to integrate technology to develop the knowledge base for understanding stress resilience behaviours in Asian Seabass in farm conditions using laboratory model
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resilience to stressors in fish. The aim will be to integrate technology to develop the knowledge base for understanding stress resilience behaviours in Asian Seabass in farm conditions using laboratory model
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writing/presentation Job Requirements PhD degree in an engineering field related to this project Experience in dynamic modeling, machine learning and optimization & controls Having basic knowledge in carbon
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optimization of multi-modal LLMs. Investigate and implement methodologies to ensure AI authenticity, accountability, and the integrity of digital content. Develop and refine machine learning and deep learning
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Requirements: PhD degree in Electrical Engineering or related subjects. Expert knowledge in power system modeling and simulation. Research experience with power system operation and optimization. Excellent
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to optimize fluid flow, heat transfer, and current distribution within the electrolyzer. • Model key parameters such as overpotential, gas diffusion, ion transport, and pressure drop to improve overall
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Associate) PhD in smart grids, energy management, or mathematical optimizations (for Research Fellow). The candidates who have submitted the thesis are also encouraged to apply. Background in the application
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uses. To investigate feature-level just-noticeable difference modelling for machines to facilitate assessment and optimization. To formulate a comprehensive visual feature codec for machine uses
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to develop and optimize scalable experimental protocols across diverse material families. This role is part of a multidisciplinary team integrating materials chemistry, machine learning, and autonomous