604 web-programmer-developer "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" PhD scholarships in United Kingdom
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of Kent) Aligned programme of study: PhD in Computer Science Northeastern University London As part of a major investment, Northeastern University London (NU London) has multiple, fully-funded PhD
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developing reliable behavioural markers of uncertainty during decision-making training, which can then be used to enhance trainees’ metacognitive awareness of peak uncertainty to benefit downstream outcomes
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Application deadline: 31/03/2026 Research theme: Nuclear Materials Hoe to apply: https://uom.link/pgr-apply-2425 UK only This 4-year PhD project is fully funded by the Nuclear Decommissioning
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Worcestershire County Council to start in October 2026. This PhD project, BETW33N: Towards Equitable Digital Wellbeing, aims to co-develop and evaluate a digital tool to improve mental wellbeing among adolescents
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-disciplinary approach that integrates design, technology and management expertise. We link fundamental materials research with manufacturing to develop novel technologies and improve the science base
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, social, cultural, and structural factors. The PhD aims to develop and test a novel systems-based framework to inform both policy and practice, identifying leverage points for more effective intervention
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CD3 is a new, multidisciplinary and multi-institutional strategic national research programme dedicated to using data to transform our understanding of cancer risk and enable early interception
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skilled graduates through research projects that use industrial challenges as the catalyst for methodological advance. Work directly with leading industry partners Many of our PhD projects are developed and
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, the wider industrial adoption of ASDs remains constrained. Current development pathways are slow, labour-intensive, and require substantial quantities of material. Techniques such as hot-melt extrusion and
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Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering Research Group) Aim: Develop a comprehensive railway network delay propagation model capable of addressing a