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is to develop a highly innovative ‘Lab on a Bench (LoB)’ setup, integrated with Machine Learning algorithm, as a high throughput method for screening and developing formulated products that are used in
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. Additionally, Dr. Ferla will provide access to high-performance computing resources and training in molecular modelling. Dr. Hartsuiker will support the cell-based biological assays, in the well-equipped labs
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Short overview of PhD opportunity The PhD studentship aims at studying and developing more comprehensive user interfaces for computer-aided decision-making processes, which can benefit from 3D/360
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operation of autonomous systems in complex, real-world conditions. This PhD project aims to develop resilient Position, Navigation and Timing (PNT) systems for autonomous transport, addressing a critical
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industry's standard titanium alloy due to its strong balance of properties and low density. However, future aerospace designs demand materials with enhanced performance. Recent research suggests that reducing
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metamaterials experience high localized shear stress, leading to their rapid wear and reduced performance over time, particularly under cyclic loading conditions. In the case of 3DFMMs, energy dissipation
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the UKRI rate (£19,237 for 2024/25) and tuition fees will be paid. We expect the stipend to increase each year. The operation of safety-critical components is often contingent on the avoidance
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algorithms, have excelled in tasks like computer vision, image recognition and large language models (LLM). However, their reliance on extensive computational resources results in excessively high energy
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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