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challenging. Characterising the mechanical behaviours of thin foils at elevated temperatures is crucial in defining the load capability of aerostructures during the forming and joining processes. This PhD aims
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analyse large, multidimensional 4D STEM datasets. Develop or adapt software tools (e.g. Python, MATLAB) for image reconstruction, phase mapping, and quantitative analysis of ferroelectric domain wall
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defining the load capability of aerostructures during the forming and joining processes. This PhD aims to characterise the material behaviours of thin sheets and foils (tensile, shear and creep effects
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cases. Additional engagement with other organisations may also be part of the research journey, providing exposure to a broad network of practitioners and stakeholders. Funding and Eligibility Fully
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for research excellence and interdisciplinary systemic thinking for Net Zero. The ReNU+ vision is that they will become living examples of a highly skilled workforce delivering an equitable energy transition so
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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 become living
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interface designs that enable real-time, efficient processing in resource-constrained environments. Students will explore innovations in hardware-software integration, emphasizing energy efficiency
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scale. Assist/contribute in preparing research outputs including reports, publications, and presentations Work collaboratively across academic and policy networks The role offers an opportunity to work
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. Like other glycans, they are not built against a defined template, and yet their structure is non-random, with specific motifs within the glycan chains defining binding sites for critical signalling and
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engaging schedule of internal and external seminars. You will also have the opportunity to be part of the Scottish Graduate Programme in Economics (SGPE)—a collaborative network of eight leading Scottish