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spectroscopy data and AI, to automatically identify textile fabrics with high accuracy in real-world sorting conditions by (1) defining optimal spectral bands, spatial resolution, and acquisition speed; (2
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of future urban living environments. This broadened futures approach will expand evidence-based spatial modelling through the creation of experiences that connect possible alternative futures to the present
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actors involved in managing public space? How can they adapt to dynamic societal needs and increasing spatial interdependencies? What institutional models promote more efficient, equitable and resilient
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. This requires an understanding of material flows and qualities. This project will develop the tools to model in sufficient detail the steel flows and evaluate the role and contribution of changes in (production
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. Your job In this PhD position, you will conduct idealised experiments with an atmospheric model (OpenIFS), using concepts from the mathematical field of periodically forced dynamical systems. You will
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. However, current estimates of methane emissions from inland waters to the atmosphere are highly uncertain because of limitations in long-term observational data and modelling methodology. In this four-year
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the physical and biological pumps during rapid climate transitions (e.g., the last glacial period and Holocene) using sediment records. Our data will be used in marine carbon cycle models to predict
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PhD position on Modelling of Ocean Alkalinity Dynamics Faculty: Faculty of Geosciences Department: Department of Earth Sciences Hours per week: 36 to 40 Application deadline: 30 August 2025
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GIS and spatial analysis Data science, data mining, and information retrieval (multi-modal) Machine learning, deep learning and artificial intelligence (Initial) Experience in grant acquisition and
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PhD Candidate in Transnational Retirement across the United Kingdom and India Faculty: Faculty of Geosciences Department: Department of Human Geography and Spatial Planning Hours per week: 36