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generation and advanced analytics to drive spatial systems biology research. Your tasks include but are not limited to: Organize and support technical running, optimisation and quality assurance of advanced
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background in Accounting & Finance, Analytics, Technology and Operations, Economics, International Business, Management and Organisations, Marketing, or People, Work and Employment? Leeds University Business
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will contribute to the development of Earth Observation and spatial analytics approaches applied to the analysis and monitoring of urban environmental systems. The research will integrate geomatics
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regression, Cox proportional regression model, Poisson regression model) and Big Data analytics (e.g., machine learning, artificial intelligence [AI], text mining, generative AI) Knowledge/Skills/Abilities
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to urban water systems. • Develop models, and predictive tools for hydrological analysis and urban water management. • Design analytical approaches to improve water resources management and urban
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advanced research in AI-based modelling applied to urban water systems. • Develop models, and predictive tools for hydrological analysis and urban water management. • Design analytical approaches
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• Significant experience in data analytics, statistics and/or urban analytics • Experience in urban environmental sustainability, urban environmental policy and environmental education is advantageous but not
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contexts. Design and execute evaluation studies (analytical and/or user-centered) to assess interpretability, robustness, and usability of proposed symbology. Contribute to related research in nautical
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for the captioned post. Duties and Responsibilities Develop and apply advanced artificial intelligence and machine learning models to real-world data (RWD). Create innovative tools and solutions to extract deeper
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the development and validation of the common data model and the data integration platform for use in healthcare research. Ensure analytical methodologies are robust, reproducible, and compliant with relevant