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This PhD opportunity at Cranfield University invites ambitious candidates to explore the frontier of energy-efficient intelligent systems by embedding AI into low-power, long-life hardware platforms
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’ opportunities and agency, using qualitative and creative methods (e.g. “Theatre of the Oppressed” or others). Please note - this position includes full funding for PhD tuition fees (UK rate) for a duration of
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limited to, disease detection in chest radiographs and cancer detection in digital mammography. For further information on Prof Ben Glocker’s research, please see http://wp.doc.ic.ac.uk/bglocker/projects
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This self-funded PhD research project aims to advance the emerging research topics on physics-informed machine learning techniques with the targeted application on predictive maintenance (PdM
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to cultivating a diverse cohort of PhD researchers from a range of academic backgrounds. If you have any questions about this opportunity, please contact p.r.knobbs@aston.ac.uk , AIME Manager for a chat. This
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should contact Dr Safiullah Khan (safiullah.khan@mmu.ac.uk ) for an informal discussion. To apply you will need to complete the online application form for a full-time PhD in Computing & Digital
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This 4 year PhD project is fully funded and home students, and EU students with settled status, are eligible to apply. The successful candidate will received an annual tax free stipend set at
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at the intersection of environmental planning, urban design, and digital innovation. You will be part of a dynamic team working to shape evidence-based policy and design solutions that improve air quality
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related PhD projects on behavioural change and weight loss. The successful doctoral candidate will lead a randomised controlled trial, including participant recruitment and coordination of laboratory
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to funding restrictions this PhD position is only available to UK nationals. As this position is sponsored by the MTC, any successful candidate would need to pass the sponsors own security checks prior