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Deadline: 21 August 2025 Details Project type: Academic-Led project Supervisors: Dr Ning Ma and Professor Jon Barker, University of Sheffield Project Partner: Yorkshire Ambulance Service NHS Trust Your PhD
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Families, and sponsors of International Women in Engineering Day. We are also Disability Confident Level 1 Employers and members of the Business Disability Forum and Stonewall University Champions Programme
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to develop novel, bio-inspired neural networks that flexibly and robustly control locomotion in multi-limbed robots. "Self-organised clocks for reliable spiking computation" (Supervisor: Prof Timothy O'Leary
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annotations are scarce or unreliable. Recently developed unsupervised learning methods allow to circumvent this limitation by learning patterns in unlabelled medical images and then leveraging them
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for Propulsion and Thermal Power Engineering within the Faculty of Engineering and Applied Sciences. Cranfield is a wholly postgraduate university and there are a wide range of MSc and Professional Development
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processing and storage, and supporting compliance with stringent certification requirements. Cranfield University offers a distinctive research environment renowned for its world-class programmes, cutting-edge
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links via bus or train. Excellent training and development opportunities. A generous annual leave scheme with 30 days bookable leave and a further 13 days of bank holiday and University closure days
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of physical conditions (pressure, pulse time, temperature) will be investigated, allowing for the design of efficient shockwaves. Essential multi-physics software tools will be developed. The project is a
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bottleneck in the screening process. This PhD project will address this through deep integration of scanning probe electrochemistry, optical microscopy and machine vision, to develop a system that can
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programme +2 - covering 2 years of study for current postgraduate researchers 1+3 - covering Master's and Doctoral study Please see Additional Information for 1+3 and +2 application processes. Tenable period