66 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"Shenzhen-Technology-University" positions at Cranfield University
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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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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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. Facilities is a major professional service unit within the University, responsible for the effective management, development and maintenance of Cranfield’s buildings, infrastructure and land. The Health and
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solutions-focused professional with a strong foundation in IT and a commitment to continuous professional development. With hands-on experience in the Microsoft Power Platform - particularly Power Apps and
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the intersection of ecology, machine learning, and sustainable land management, the research will combine field data collection, deep learning model development, and stakeholder co-design to support biodiversity
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GNSS alone leaves systems vulnerable to interference, spoofing, or outages, particularly in dense urban environments. The development of 6G networks with integrated TN and NTN infrastructures provides
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to ensuring safe, reliable, and high-performance communications. The development of 6G based AI networks with integrated TN and NTN infrastructures provides new opportunities for UAV tracking
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towards establishing new and continually improving processes. You will have a passion for education, development and helping learners achieve their potential via apprenticeships. You will champion the use
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and supplier processes to financial oversight. Alongside this, you will play an important part in the development of HEECA, a voluntary association supporting security in UK higher education
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how individuals make movement and life-history decisions in dynamic agricultural landscapes. A baseline model and dynamic energy budget framework already exist, but require development to incorporate