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Field
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on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine
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Your Job: Climate change is already reshaping our world and will continue to do so in the coming decades. Reducing greenhouse gas emissions is essential to limiting future climate change, with
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targets groundbreaking advancements in sustainability and efficiency, innovations like hydrogen-powered flights and ultra-high gas turbine temperatures are gaining focus. This shift has created an urgent
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Inspections of offshore wind turbines, such as identifying damage or ice on turbine blades, anticipating its effects and making decisions on maintenance and repair, as well as estimating remaining
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repair and maintenance of gas turbine engines. Applicants are invited to undertake a fully funded three-year PhD programme in partnership with Rolls-Royce to address key challenges in soft robotics
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/on-wing repair and maintenance of gas turbine engines. Applicants are invited to undertake a fully funded three-year PhD programme in partnership with Rolls-Royce to address key challenges in soft robotics
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medium/large range aircraft is the ability to pump liquid hydrogen to a suitable pressure for injection into the gas turbine combustion chamber with a pumping system that has mass and volume compatible
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Award duration: 4 years Food processing currently relies heavily on the combustion of natural gas to provide process and space heating. Until recently, natural gas was considered the preferred fuel
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to investigate flow-induced forces in hydraulic turbines under varying operational conditions and how these forces affect the degradation and lifetime of the machines. About the position The position is based
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: religious meaning-making in language use Cosmic Interacting Matters From Atoms to Turbine Blades Symplectic Structures in Geometry, Algebra and Dynamics Bulk Reaction – reacting and moving granular assemblies