28 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr" positions at Cranfield University in United Kingdom
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responses and mitigation scenarios across realistic European agricultural landscapes (illustrative example shown in Figure 1). There is also an opportunity to collect original movement and behavioural data
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multilayer printed circuit boards (PCBs). It draws from disciplines including electrical and electronic engineering, embedded systems, computer vision, and cybersecurity. The ability to verify hardware without
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thermodynamically. Performance design optimization and advanced performance simulation methods will be investigated, and corresponding computer software will be developed. The research will contribute
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service, delivering robust, secure and user-friendly digital systems that support research, education, and administration. The Information Systems team works across all faculties and professional services
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This self-funded PhD opportunity sits at the intersection of several research domains: multi-modal positioning, navigation and timing (PNT) systems, AI-enhanced data analytics and signal processing
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analytical techniques while contributing to the optimization of toilet system performance through rigorous scientific analysis and data interpretation. Cranfield’s world-class expertise, large-scale facilities
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robust, secure, and user-friendly digital systems that support research, education, and administration. The Information Systems team works across all faculties and professional services to implement and
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robust, secure, and user-friendly digital systems that support research, education, and administration. The Information Systems team works across all faculties and professional services to implement and
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. The Information Systems team works across all faculties and professional services to implement and support business-critical systems, ensuring high-quality service, training, and continuous improvement. Our Values
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and kinematic models with machine-learning-based channel state information (CSI) prediction to enable robust, low-latency connectivity across multi-layer NTN systems. This PhD project sits