462 web-programmer-developer-"https:"-"https:"-"https:"-"Newcastle-University" PhD positions in United Kingdom
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10,000 year risk levels are required to be mitigated for. Through collaboration with EDF Energy’s Natural Hazards R&D Team, this project will utilise and develop state-of-the-art space simulations to probe
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University London (NU London) Project start date: October 2026 Supervisors (*lead): Osvaldo Simeone (Northeastern University London) Carlos Perez Delgado (University of Kent) Aligned programme of study: PhD in
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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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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
, this project contributes to advancing smart materials diagnostics, supporting sustainability, safety, and technological competitiveness in key engineering sectors. To develop an AI-driven methodology
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develop a new way to use an existing non-invasive treatment called photodynamic therapy for sarcoma treatment, using light and a drug called a photosensitiser to destroy cancer cells. It is an approved
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-time imaging. This PhD project aims to address these barriers by developing AI-driven methods for fluorescence fluctuation super-resolution microscopy (FF-SRM), with a particular focus on the emerging
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for international and home candidates who wish to pursue their full-time studies in the PhD and Integrated PhD (IPhD) programmes of the Business School, including all areas of Accounting, Economics, Finance, and
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is offering multiple studentships for candidates from backgrounds spanning the physical and computer sciences. These students will develop core expertise in robotic, digital, chemical and physical
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channel caused by wildfire effluents. Inspired by passive radar principles, this approach could enable low-cost, wide-area coverage without the constraints of optical visibility. The PhD will develop RF
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This PhD at Cranfield University explores the development of resilient, AI-enabled electronic systems capable of detecting faults and autonomously recovering from failures in real time. The project