594 web-programmer-developer-"https:"-"https:"-"https:"-"https:"-"UCL" PhD positions in United Kingdom
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programme that will train the next-generation of doctoral carbon champions who are renowned for research excellence and interdisciplinary systemic thinking for Net Zero. The ReNU+ vision is that they will
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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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knowledge. A tailored programme of seminars and events, alongside our Doctoral Researchers Core Development programme (transferable skills training), provide those studying a research degree with a wealth of
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between things, developing the mathematical and computational foundations for optimal information transfer between surfaces and volumetric current distributions in complex scattering media. The research
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student to revolutionise electrical machine design and development based on programmable 3D electrical steel technology enabled by advanced manufacturing processes and emerging magnetic materials
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Award Summary This studentship provides a tax-free annual living allowance of £25,726 plus a research training support grant of £20,000 and 100% fees paid. Overview This PhD project aims to develop
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@uwe.ac.uk ) Students at the College benefit from comprehensive support and guidance from the Doctoral Academy, including extensive professional development programme and research skills training. Find out
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of £25,726 plus a research training support grant of £20,000 and 100% fees paid. Overview This PhD project aims to develop a computationally efficient framework for the real-time prediction of river water
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complex mixture of physical inputs. There is therefore an urgent need to decouple these influences and develop laboratory-reproducible ocean optics, enabling scalable, interpretable, and repeatable sensing
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with human decision-making. Your work will deliver tools to assess explainability requirements, select appropriate XAI techniques (e.g., SHAP, LIME, counterfactuals), and develop novel explanation