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Research theme: Space Robotics No. of positions: 1 The PhD is fully funded for home students; the successful candidate will receive an annual tax free stipend set at the UKRI rate (£20,780) and
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with programming (Python, MATLAB), background in aerospace, computer science, robotics, or electrical engineering graduates, hands on skills in implementation of fusion/learning based techniques in
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PhD Studentship: Rolls-Royce sponsored PhD scholarship – Intelligent Mechatronics and Robotics Systems Engineering Rolls-Royce University Technology Centre (UTC) in Manufacturing and On-Wing
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-edge advancements in automated drug discovery through the integration of high data-density reaction/bioanalysis techniques, organic synthesis, laboratory automation & robotics and machine learning
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-edge advancements in automated drug discovery through the integration of high data-density reaction/bioanalysis techniques, organic synthesis, laboratory automation & robotics and machine learning
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project, students will: Synthesise amphiphilic copolymer nanoparticles on an automated robotic platform. Automate the analysis of these nanoparticles via small angle X-ray scattering Make the system
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applications across the multi-billion dollar display industry, photonics, metamaterials, robotics, healthcare technologies etc. The mathematics of LCs is very rich and cuts across analysis, topology, mechanics
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underlying material perception: our ability to determine how materials will feel to touch, just from seeing them. Understanding this process has practical consequences for improving tactile sensing, robotics
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reusable launchers, autonomous robotics, and advanced materials could redefine how we design space structures. The ability to remotely assemble orbital systems from multiple launcher payloads would allow
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artists. The PhD will look beyond current research in emotion detection and affective computing to explore how AI and robots can engage messy and ambiguous world of human feelings through applications