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Field
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-driven and machine-learning models. The role will also involve conducting materials synthesis and electrochemical studies, troubleshooting and improving automated workflows, analyzing research data, and
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anomaly with different weather conditions, which can be used to develop a data-driven model for storm surge prediction. Data Analysis: Process and analyze climate, ocean wave and coastal data to improve
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optimisation techniques, machine-learning methods and data-driven modelling. Familiarity with robotics and autonomous-system simulation environments such as ROS/ROS2, Gazebo, AirSim, Unity, or equivalent
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. Explore different approaches to building data-driven models to simulate farming systems to generate holistic indicators of systems performance, moving beyond simple indicators of productivity. Apply models
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Water Research Centre (EEWRC) The Climate and Atmosphere Research Centre (CARE-C) The Science and Technology Driven Policy and Innovation Research Centre (STeDI-RC) Considerable cross-centre interaction
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Schemes of Service: Research Division: Infocomm Technology Employment Type: Fixed Term As a University of Applied Learning, the Singapore Institute of Technology (SIT) works closely with industry in
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The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE
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data-driven modelling methods for renewable energy integration. Research Outputs and Funding: Publish high-quality research outcomes, contribute to milestone reports, collaborate on competitive research
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Vision, Video Understanding, and Multimodal AI. Design AI models for concept-driven video understanding of consumer facial care behaviours. Work with PI and company to develop the AI solution Develop novel
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packaging. The successful candidate will play a dual role: spearheading the development of on developing and integrating modeling, co-design, and data-driven optimization methodologies for BS-PDN-enabled