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on developing strategies to control microtexture in both existing and newly designed titanium alloys. You will combine advanced 3D microstructure characterization using world-class facilities at The University
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move into practice? This project will examine how implementation considerations can be embedded earlier in innovation pathways to inform policy and healthcare decision-making. Although horizon scanning
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with ordinary facial movement. While many methods have been developed to recognise and localise micro-expressions, these results remain difficult to understand. The proposed models will be designed
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with predictable and repeatable operations. Autonomous systems need to be predictable and verifiable. Regulatory acceptance requires demonstrable evidence of safety performance. The complex design of
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is seeking to make an appointment in one of the following areas aligned to strategic research and teaching priorities: Design with a focus on space engineering Digital manufacturing, sustainable
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prediction to systems that reason, plan, interact and act in the physical world. This PhD addresses efficient long-horizon task execution in Physical AI—complex tasks needing sequences of decisions, subgoals
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, privacy-enhancing technologies, and trustworthy AI: stating requirements precisely, designing methods that meet them, and building prototypes fast enough to use. Applicants should hold, or expect to obtain
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outcomes. Research Approach The project will use a mixed-methods design, combining quantitative and qualitative approaches to develop a comprehensive understanding of inequalities across orthopaedic and
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in particle simulation, experimental design, high-performance computing, pharmaceutical manufacturing and predictive modelling; preparing you for a career in pharmaceutical, digital manufacturing and
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design, and data analysis. Working in the De Vega Lab at the Earlham Institute and collaborating closely with researchers at IBERS, you will have access to cutting-edge computational infrastructure and a