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management. Scalable distributed autonomous monitoring technologies, particularly swarms of ground robots, complimented with satellite imagery and sensor networks need to play a pivotal role, given their
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world-leading or internationally excellent in its quality. Every year Cranfield graduates the highest number of postgraduates in engineering and technology in the UK (Source: Higher Education Statistics
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This research opportunity aims to hire PhD students as a self-funded program. By analysing retinal images with deep learning technology, early detection of Alzheimer’s disease may be possible. By
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at the Earth, these produce amazing auroral displays but also endanger satellites and disrupt communication signals. Accurately modelling magnetosphere-atmosphere energy transfers is important to understanding
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across the themes of Digital, Physical and Biological systems to provide a diverse and interconnected cohort training environment. As well as carrying out research training in a world-leading research
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Closing date: 23:59 on 31st May 2024 (for October 2024 Starters). Supervisory team Dr Zilong Liu , Senior Lecturer, School of Computer Science and Electronics Engineering, University of Essex
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be tailored. This project aims to explore how combining network modules with diverse properties can be used to create easy to train AI models capable of solving challenging, real-world problems. It
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Tsoutsanis & Dr Ahmed Al-Shabab A fully funded PhD studentship with a bursary of £25,000 p.a. (tax-free) plus UK Home student fees for four years in the Centre of Computational Engineering Sciences
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and innovative technology development through interdisciplinary collaborations across our scientific research teams. The Franklin has selected a unique suite of techniques where we can push developments
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AHRC Collaborative Doctoral Partnership Applications are invited for a PhD studentship, to be undertaken at Cranfield University (CU, Defence Chemistry Department) and the National Archives (TNA