565 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:" PhD positions in United Kingdom
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may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How To Apply Please read and complete this document as
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Civil Engineering PhD Research Project Directly Funded UK Students Prof R Dwyer-Joyce Application Deadline: 30 August 2026 Details Novel Sealing for High-Pressure H2 and Low-Carbon Storage Technologies
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First or strong Upper Second-class honours degree (2:1 with 65% average), or international equivalent, in Engineering, Computer Science, Physics, Mathematics, or a related discipline, and demonstrate
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progress from fundamental surface science to the fabrication of intelligent, multiplexed sensor arrays, enabling fast and reliable cardiovascular health monitoring. This exciting 3-year PhD will be conducted
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PhD Studentship: Building Synthetic Self-Propelled Cells for Bioinspired Motion Are you fascinated by working at the intersection of physics and synthetic biology? This PhD project offers a unique
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, etc.), or the equivalent qualifications gained outside the UK, in a relevant area of Physical Science, Materials Science, or Engineering. You should be able to demonstrate some computational
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Research Assistant to investigate digital reading comprehension through large-scale data analysis. This role, funded by the John Fell Fund, sits at the fascinating intersection of computational
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training in Government and political science research methods as this will be provided on the programme. Research Proposal The project area is broadly defined, leaving scope for the applicant to develop
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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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welcome motivated students with a strong background in engineering or science, such as physics, mathematics, computer science, or related disciplines. Skills in mathematics, computational modelling