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Field
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—such as solar arrays, antennae, and habitat frameworks—while minimizing launch mass and deployment complexity. Key objectives include optimizing structural design for deployment efficiency, resilience under
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process. Address blind inverse problems by defining a network to learn distortion functions from data, informing the optimization in the learning process. Refine optimization and learning strategies
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investigate how to optimize the "athlete-equipment-playing environment" interface, integrating state-of-the-art profiling technologies. The research will adopt an individualised sport approach, targeting up
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aims to address these inefficiencies by developing innovative technologies for cleaning optimization and water reuse. The research will explore the use of ultraviolet (UV) fluorescence imaging to monitor
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sensors to understand their local surroundings at sea and inform optimal action. To ensure safety requires the ability to reliably detect, image and recognise their environment, in terms of surrounding sea
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successful, the increasing demand for biochar and its by-products in high-value applications necessitates a thorough examination of the existing process and products to optimize efficiency and enhance overall
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and brain tissue mechanics to improve stroke treatment. Stroke is a leading cause of death and disability worldwide, making advancements in its diagnosis and treatment highly relevant. Computational
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This is a self-funded opportunity relying on Computational Fluid Dynamics (CFD) and wind tunnel testing to further the design of porous airfoils with superior aerodynamic efficiency. Building
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multiple objectives in real-time. The complexity of coordinating these distributed systems while ensuring stability and optimal performance presents a significant technical barrier that must be overcome
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genomic investigation of their demise in the UK. This will involve optimizing WGS sequencing protocols for working on museum specimens and developing best practices for museum metagenomics. We will focus