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the growing demand for sustainable AI-enabled systems, this PhD brings together low-power computing, energy-aware design, and thermal optimisation. You’ll work with advanced profiling tools, prototype long-life
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industrial spheres. By the end of the project you will have mastered environmental surveying, microbiological sampling, high-frequency sensor deployment, drone-based imaging and the bioinformatic analysis
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Multiple self-funded PhD positions are available in Modelling and Simulation (M&S). The project will aim to mature software repositories describing the biomechanics of the human brain. The M&S tools
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Security and Law, Digital Forensics, Chemical, Biological, Radiological, Nuclear (CBRN), Advanced Materials for Protective Engineering: Blast and Ballistics, Advanced Imaging. Supervisors At Cranfield we
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, Nuclear (CBRN), Advanced Materials for Protective Engineering: Blast and Ballistics, Advanced Imaging. Supervisors At Cranfield we place great importance on supervision and the relationship a student has
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include, but are not limited to: Archaeology, Bioarchaeology and Forensic Anthropology, Materials Characterisation, Advanced Imaging. Supervisors At Cranfield we place great importance on supervision and
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Aviation by 2050. This exciting doctoral project, in collaboration with Rolls-Royce, will develop innovative computer vision methods which when combined with optical flow velocimetry will enable imaging
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to validate the computational tools, explore the intake flow distortion, and provide guidance on the design of future intake/fan configurations. This position is part of the CDT in Net Zero Aviation, which
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project based on the applicant's interests). The project’s AI-enhanced solutions will set new benchmarks for intelligent electronics across aviation, electrification, smart mobility, cybersecurity, and
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. While autonomy is becoming more integrated into modern mobility, the reliability of Position, Navigation and Timing (PNT) systems—especially in environments where GNSS signals are denied or degraded