687 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "University of Waterloo" PhD positions in United Kingdom
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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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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
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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
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. To apply, you will need to complete the online application form for a full time PhD in Sports & Exercise Science Please complete the Doctoral Project Applicant Form , and include your CV and a covering
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experimental and computational, to understand and predict microtexture evolution during processing. The balance between experimental and computational research will depend on the profile of the successful
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or computational frameworks, developed in collaboration with partners with modelling expertise. This PhD offers the opportunity to work at the interface of plant physiology, root biology, imaging and quantitative
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provide considerable training in chronobiology, signal transduction in plants, microbiology, and data analysis and interpretation. As part of the “MicroClock” programme funded through an ERC Synergy grant
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. The goal of this PhD project is to develop a novel account of what it means to learn from error in science. In what sense is science “self-correcting”, and what does this process entail? How
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will make water networks robust and resilient to these threats. Candidate requirements Starting October 2026, we require an enthusiastic graduate with a 1st class degree in engineering, maths or a
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PhD Studentships to support doctoral research in the Arthur Scargill Archive at the University of Sheffield Faculty of Arts and Humanities 4 Year PhD Programme Funding Available UK Students View