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interventions to manage flood risk, and highly managed river restoration schemes, for example. They are also highly dynamic, exhibiting both rapid, short-term, spatio-temporal change (e.g. seasonality), through
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PhD Studentship - Function on Demand, Degrade on Disposal: Next-Generation Polymers for Sustainable Cleaning Award Summary 100% fees covered, and a minimum tax-free annual living allowance
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submit more than one application please indicate in your personal statement your preferred project. For further details about the EPSRC Doctoral Landscape Award at Exeter, please see the following webpage
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for these low-frequency but potentially extreme-magnitude events, and incorporating these events into hazard management planning, is a further challenge. Adding to these factors, the areas most at risk from
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Autonomous vehicles (AVs) are advancing rapidly, yet their safety assurance remains limited by the opacity of modern AI systems. Current machine learning–based decision pipelines often function as
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Infrastructure? No Offer Description Work group: IBG-3 - Agrosphäre Area of research: PHD Thesis Job description: Your Job: The PhD project offered will be part of the Cluster of Excellence: PhenoRob - Robotics
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information on this project and details of how to apply to it please visit https://centa.ac.uk/studentship/2026-b12-low-latitude-atmospheric-rivers-meteorology-forecasting-and-flood-risk/ Further information
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writing skills Since the work involves interdisciplinary cooperation with several researchers and technicians, good communication and organizational skills are essential Drivers licence is required
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Welcome to Maastricht University! The world is changing fast, and we’re changing with it. At Maastricht University, your work makes a real difference – whether you’re exploring the future through
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Bayesian machine learning to improve risk management for bridge portfolios. We offer a funded PhD position in an excellent research environment. The project Our infrastructure is aging, and decisions about