395 computer-"https:"-"https:"-"https:"-"https:"-"Newcastle-University" PhD positions in United Kingdom
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at the intersection of social policy, psychology, and neuroscience and forms part of a wider programme aimed at strengthening trauma-informed understanding and responses for justice-involved women, particularly within
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap
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(or equivalent international qualification ) with a UK master's degree (with an average programme mark of no less than 65%) or international equivalent . Applicants must meet the minimum English language
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undergraduate degree (or international equivalent) in Engineering, Industrial Engineering, Manufacturing Engineering, Systems Engineering, Operations Management, Computer Science, or a related field. A master's
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. This PhD project will address these critical gaps through an ambitious translational research programme combining human studies with cutting-edge laboratory science. The student will design and lead a
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the average values of the widths and spacings between two adjacent resonances. This energy range is called the “unresolved resonance region” (URR). Current computational methods treat the resonances in the URR
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to encourage an effective and vibrant research culture, founded upon the diversity of activities and knowledge. A tailored programme of seminars and events, alongside our Doctoral Researchers Core Development
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complexity and surface roughness, using computational methods like physical optics and the discrete dipole approximation. Supervisors Entry requirements Applications are invited from individuals with a
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, robotics, and machine learning. You will work within a multidisciplinary supervisory team spanning engineering, robotics, and computer science, and collaborate with researchers working on real-world
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clinically meaningful explanations. Finally, the project will develop new evaluation frameworks to assess reasoning quality, robustness, computational efficiency, and real-world clinical usefulness, supporting