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. Although there is a clear synergy between fatigue damage and corrosion, most fatigue prognosis models do not explicitly consider the role of the environment, which is usually reduced to obscured fitting
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critical to ensuring the longevity and safety of fusion reactors. This PhD project focuses on developing an integrated framework that combines cutting-edge computational models, including Monte Carlo
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The research in this doctoral opportunity will develop a failure model that can represent the combined effect of surface and bending failures in gears to perform reliable health prognostics. Lack
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habitat fragmentation. Working at the forefront of ecological modelling and movement ecology, you will build next-generation, process-based models to predict how real populations respond to complex
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project will develop novel methods for modelling and controlling large space structures (LSSs), so that they can be reliably utilised in space-based solar power (SBSP) applications. Working with leading
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be developing advanced spatial models such as graph-based approaches and network analytics to predict how blue network dynamics, fragmentation and surrounding land use interact to shape ecosystem
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applied remote sensing and geospatial modelling can inform agricultural water resources planning for flood and drought risk management, and (iv) what tools can support better water resources planning
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the intersection of ecology, machine learning, and sustainable land management, the research will combine field data collection, deep learning model development, and stakeholder co-design to support biodiversity
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Based Solutions for water resources and water treatment Integrated catchment management and modelling Agricultural water resource management Irrigation and drainage Climate change impacts, vulnerability
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Economics, macroeconomic modelling . IGASH sits at the frontier of hydrogen transitions and social-science modelling. The project involves the analysis of a thermal plasma electrolysis gas splitting