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assess published GNSS velocity fields for Southeast Asia Contribute to the integration of InSAR and GNSS observations and the development of deformation fields, strain-rate maps, and geodetic models
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, operations research, or a related field from a recognised university Strong expertise in applying large language models (LLMs) and AI techniques to prediction and optimization problems; familiarity with
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learning and multimodal AI systems. Develop novel attack, detection and defence techniques for adversarial examples, model vulnerabilities and jailbreak attempts. Design and implement research prototypes
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. Development cycle including circuit design, simulation, modeling, layout, verification and measurements. Develop scripts and algorithms for analog IC design Prepare research papers/reports/technology
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road safety analytics framework. The role involves integrating multi-source transport datasets, developing advanced analytical and machine learning models for risk identification, and supporting
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, artificial intelligence, and predictive modelling, CCEH develops evidence-based solutions to support climate risk assessment, disaster preparedness, adaptation planning, and more climate-resilient communities
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project is required to: Develop and implement advanced process and energy system models for integrated, low-carbon, and net-zero energy applications. Conduct research on energy systems integration and
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, research staff, and PhD students. Our members develop both foundational methods and practical systems, with recent research covering areas such as large multimodal models, generative intelligence, 3D content
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reproducible models and decision-support methods, contribute to project milestones and high-impact publications, and work closely with academic, industry, airport, and regulatory stakeholders. Responsibilities
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. Key Responsibilities: Constructs a holistic model for diverse market participants (including overseas power importers and domestic power plants) behaviour simulation Develop an evolutionary-game based