679 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" PhD positions in United Kingdom
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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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strategic advantages such as discovering new value-creation opportunities. This project will be conducted in collaboration with Circularise, a technology company founded in 2016 that develops blockchain-based
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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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clinically meaningful explanations. Finally, the project will develop new evaluation frameworks to assess reasoning quality, robustness, computational efficiency, and real-world clinical usefulness, supporting
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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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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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of the candidate Essential requirements: A 1st class or 2.1 degree (or equivalent) in Environmental Science, Remote Sensing, Computer Science, Surveying Engineering, or related field Strong coding skills (Python
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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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strengths and interests (e.g. geospatial data science or socio-environmental modelling). Funding Sponsored by the Leverhulme Trust and Cranfield University, this Connected Waters Leverhulme Doctoral programme
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and scientific computing. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline