69 evolution "https:" "https:" "https:" "Multiple" "I.E" positions at Cranfield University
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to slower, longer-term, evolution (e.g. vegetation and morphological change). For some, blue spaces may be perceived as ‘wasted space’, whilst highly engineered systems may be perceived as natural
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
life. It also provides valuable skills in AI, materials testing, and data analysis. In addition to its technical innovation, this project offers a range of unique personal and professional development
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the development of specialized hardware architectures capable of efficient, real-time processing. Embedded AI hardware architectures, including neuromorphic processors and low-power AI accelerators
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characterization. Chemical and biological analysis of waste streams represents a critical component of sustainable sanitation technology development, particularly as communities worldwide seek safe and effective
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delivery. You will have experience in training and supporting non-technical users, and mentoring others in low-code development. Your excellent communication, problem-solving and organisational skills will
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have experience managing and developing staff, supporting non-technical users, and mentoring others in low-code development. Your excellent communication, problem-solving and organisational skills will
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, founded upon the diversity of activities and knowledge. A tailored programme of seminars and events, alongside our Doctoral Researchers Core Development programme (transferable skills training), provide
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academic development throughout the process with support from supervisors wider research activities. There are no examinations on this programme, the final outcome will be a research thesis. Supervision
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Cranfield, started in 2008, with funding from the East of England Development Agency (EEDA); a consortium of core industrial partners, (Boeing, BAE Systems, Rolls-Royce, Meggitt, Thales, MOD and Alstom); and